reads gtamps and generates 22 shrutis wavs

 Write a c sharp program which will read such files Read this file and understand that it is the 16 bit floating data samples containing the Sa Re Ga Ma Pa Dha Ni Sa and Sa Ni Dha Pa Ma Ga Re Sa now write a c sharp program without using any third party c sharp API (no Audacity orother api ) to simply read such text files and read only the numbers and Generate the pcm wav files with 22 copies of same thing mono where each samples will shifted to frequencies with factors 2^(r/22) r= 1 to 22 r copies with such shifted frequencies in new longer wav file to generate and regenrate a longer pcm wav file where the durations of each notes remain same only the frequencies shifted

The uploaded file contains amplitude samples in floating-point format, likely representing a mono waveform. The lines starting from the third contain numerical amplitude values, suggesting 16-bit sample data normalized to floats (range approximately between -1 and 1).

Objective:

We'll write a C# program that:

1. Reads the float sample values from the text file.

2. Generates 22 frequency-shifted versions of the waveform using a factor of 2r/222^{r/22}2r/22 (for r=1r = 1r=1 to 222222).

3. Concatenates all shifted versions into a longer waveform.

4. Writes the final result as a mono PCM .wav file (16-bit, 8000 Hz sample rate).

No third-party APIs will be used—just core .NET features.

________________________________________

🛠️ C# Program Outline

csharp

CopyEdit

using System;

using System.IO;

using System.Linq;

using System.Collections.Generic;

using System.Text;

class WavGenerator

{

    const int SampleRate = 8000;

    const int BitsPerSample = 16;

    const int Channels = 1;

    const double Pi = Math.PI;

    static void Main(string[] args)

    {

        string inputPath = "your_file_path_here.txt";

        string outputPath = "output.wav";

        // Read float samples

        var samples = File.ReadLines(inputPath)

                          .Where(line => double.TryParse(line, out _))

                          .Select(double.Parse)

                          .ToList();

        var allShifted = new List<short>();

        for (int r = 1; r <= 22; r++)

        {

            double shiftFactor = Math.Pow(2, r / 22.0);

            var shifted = ResampleWithFrequencyShift(samples, shiftFactor);

            allShifted.AddRange(shifted);

        }

        WriteWavFile(outputPath, allShifted);

        Console.WriteLine("WAV file written to: " + outputPath);

    }

    static List<short> ResampleWithFrequencyShift(List<double> samples, double shiftFactor)

    {

        int newLength = (int)(samples.Count / shiftFactor);

        var shifted = new List<short>(newLength);

        for (int i = 0; i < newLength; i++)

        {

            double srcIndex = i * shiftFactor;

            int idx = (int)srcIndex;

            double frac = srcIndex - idx;

            double value = 0;

            if (idx + 1 < samples.Count)

                value = (1 - frac) * samples[idx] + frac * samples[idx + 1];

            else if (idx < samples.Count)

                value = samples[idx];

            short pcmVal = (short)(value * short.MaxValue);

            shifted.Add(pcmVal);

        }

        return shifted;

    }

    static void WriteWavFile(string filePath, List<short> samples)

    {

        using (var stream = new FileStream(filePath, FileMode.Create))

        using (var writer = new BinaryWriter(stream))

        {

            int byteRate = SampleRate * Channels * BitsPerSample / 8;

            int dataSize = samples.Count * BitsPerSample / 8;

            // RIFF header

            writer.Write(Encoding.ASCII.GetBytes("RIFF"));

            writer.Write(36 + dataSize);

            writer.Write(Encoding.ASCII.GetBytes("WAVE"));

            // fmt subchunk

            writer.Write(Encoding.ASCII.GetBytes("fmt "));

            writer.Write(16); // PCM

            writer.Write((short)1); // AudioFormat = PCM

            writer.Write((short)Channels);

            writer.Write(SampleRate);

            writer.Write(byteRate);

            writer.Write((short)(Channels * BitsPerSample / 8));

            writer.Write((short)BitsPerSample);

            // data subchunk

            writer.Write(Encoding.ASCII.GetBytes("data"));

            writer.Write(dataSize);

            foreach (short s in samples)

                writer.Write(s);

        }

    }

}

The user wants a C# program that performs several audio processing tasks:

1. Read Input File: Read a text file containing 16-bit floating-point data samples. These samples represent a musical sequence ("Sa Re Ga Ma Pa Dha Ni Sa" and its reverse).

2. Parse Numbers: Extract only the numerical data from the text file.

3. Frequency Shifting: For each original sample, generate 22 new samples. Each of these 22 samples will have its frequency shifted by a factor of 2&lt;sup>(r/22)&lt;/sup>, where 'r' ranges from 1 to 22.

4. Maintain Duration: The duration of each note should remain the same after frequency shifting. This implies that if the frequency is increased, the number of samples representing that note might need to be adjusted (or the pitch shifting algorithm should inherently handle this). However, the prompt says "durations of each notes remain same", which usually means the time duration, not the number of samples. Pitch shifting without changing duration is the core of the problem.

5. Generate PCM WAV File: Create a new, longer PCM WAV file. This file will contain the 22 frequency-shifted versions of the original audio, concatenated. The output should be mono.

6. No Third-Party APIs: The program must not use any external audio libraries like Audacity API, NAudio, etc. It should rely on fundamental C# capabilities and understanding of WAV file format.

Let's break down the steps and consider the complexities:

Step 1 & 2: Reading and Parsing the Input File

• The input is a text file. Each line might contain one or more floating-point numbers.

• We need to read the file line by line, split the lines by spaces or other delimiters, and try to parse each part as a float or double.

• These parsed numbers are the raw audio samples. The prompt mentions "16-bit floating data samples". This is a bit unusual. PCM WAV files typically store integer samples (e.g., 16-bit signed integers). If the input text file contains floating-point numbers (e.g., "0.5", "-0.2"), these likely represent normalized audio samples (e.g., in the range -1.0 to 1.0). When writing to a 16-bit WAV, these will need to be scaled to the range of a 16-bit integer (-32768 to 32767).

Step 3: Frequency Shifting

• This is the most complex part without using third-party libraries.

• Frequency shifting (or pitch shifting) while preserving duration typically requires techniques like:

o Resampling: Change the playback speed (which changes pitch and duration), then adjust the sample rate or number of samples to restore the original duration. This can be done with interpolation (linear, sinc, etc.).

o Phase Vocoder: A more advanced technique that works in the frequency domain (using STFT - Short-Time Fourier Transform). This is likely too complex to implement from scratch under the "no third-party API" constraint if the user expects a quick solution.

o PSOLA (Pitch Synchronous Overlap and Add): Another common technique that manipulates segments of the waveform. Also potentially complex.

• The prompt specifies a shift factor of 2&lt;sup>(r/22)&lt;/sup>. This is related to cents or semitones if 'r' was related to 12 (for 12 semitones in an octave). Here, it's 22 steps.

• Simplest approach (and likely what's feasible without advanced DSP from scratch):

o If we simply resample the original data, changing the pitch will also change the duration. For example, to double the frequency (shift by an octave), you'd play the samples twice as fast, halving the duration.

o To maintain duration while changing pitch using simple resampling, we'd need to: 

1. Generate more or fewer samples for the new note.

2. If we want to increase pitch by factor F and keep duration D same: The new sound will have N' = N/F samples if played at original rate, but duration would be D/F. To keep duration D, we need to "stretch" or "compress" the waveform in time. This means we need to generate N samples for the new note, but each new sample y[n] is derived from the original x[m] such that the perceived frequency is higher.

• Let's reconsider the "frequency shifted" part. A common way to shift pitch without changing duration (at a basic level) is to use a technique like "granulation" or a simplified time-domain pitch scaling. However, given the constraint "no third-party API" and the request for a C# program, implementing a high-quality pitch shifter from scratch is a significant task.

• Possible Interpretation of "Frequency Shifted": Perhaps the user means that the fundamental frequency of each note segment is shifted. If the input "Sa Re Ga Ma..." implies distinct notes, and each note has a certain number of samples, then we need to process each note segment.

• Simpler resampling for pitch shift: To change pitch by a factor P (e.g., P = 2^(r/22)), we can generate the output signal y[n] from the input x[t] using y[n] = x[n/P]. This requires interpolation because n/P will often not be an integer.

o y[i] = original_samples[ (int)(i / pitch_factor) ] (nearest neighbor - poor quality)

o y[i] = interpolate(original_samples, i / pitch_factor) (linear interpolation is better)

If pitch_factor > 1 (frequency increases), we are "compressing" the original waveform in time (reading samples faster). To maintain duration, the output sequence for that note will have the same number of samples as the original note, but the samples will be picked from the original waveform at a faster rate.

Example: Original note: s1, s2, s3, s4, s5, s6 (6 samples) Pitch factor = 2 (double frequency) New note (same duration, so 6 samples): y[0] = x[0/2] = x[0] y[1] = x[1/2] = interpolate(x, 0.5) y[2] = x[2/2] = x[1] y[3] = x[3/2] = interpolate(x, 1.5) y[4] = x[4/2] = x[2] y[5] = x[5/2] = interpolate(x, 2.5)

This is essentially resampling.

Step 4: Maintain Duration

• As discussed above, if we use resampling for pitch shifting, the number of output samples for a given segment will be the same as the number of input samples for that segment to maintain duration.

Step 5: Generate PCM WAV File

• This requires writing a WAV file header and then the PCM data.

• WAV Header Fields (for a 16-bit mono PCM file):

o "RIFF" chunk descriptor 

 ChunkID: "RIFF" (0x52494646)

 ChunkSize: 36 + SubChunk2Size (total file size - 8)

 Format: "WAVE" (0x57415645)

o "fmt " sub-chunk 

 Subchunk1ID: "fmt " (0x666d7420)

 Subchunk1Size: 16 (for PCM)

 AudioFormat: 1 (PCM)

 NumChannels: 1 (Mono)

 SampleRate: This is an important parameter. What should it be? The problem doesn't specify. Let's assume a common rate, e.g., 44100 Hz. Or, if the input data implies a sample rate, we should use that. The problem says "16 bit floating data samples" but doesn't mention sample rate. The pitch shifting factors are relative. So, the original sample rate is key. Let's assume a default like 22050 Hz or 44100 Hz. The output WAV file will have this same sample rate. The change in pitch comes from how we generate the samples, not from changing the sample rate in the WAV header for the shifted parts.

 ByteRate: SampleRate * NumChannels * BitsPerSample/8

 BlockAlign: NumChannels * BitsPerSample/8

 BitsPerSample: 16

o "data" sub-chunk 

 Subchunk2ID: "data" (0x64617461)

 Subchunk2Size: NumSamples * NumChannels * BitsPerSample/8 (total size of PCM data in bytes)

 Data: The actual sound data (sequence of 16-bit signed integers).

• The floating-point samples read from the text file (assumed to be in -1.0 to 1.0 range) need to be converted to 16-bit signed integers: (short)(sample * 32767.0).

Step 6: No Third-Party APIs

• All file I/O, parsing, math, and WAV writing must be done with standard .NET libraries (System.IO.File, System.IO.BinaryWriter, System.Math, etc.).

Implementation Plan:

1. WavHeader struct/class: To hold WAV header information.

2. WriteWavHeader method: Takes BinaryWriter and header data, writes it.

3. Main logic: 

o Define SAMPLE_RATE (e.g., 44100).

o Function to read and parse floats from the input text file. 

 Handle potential non-numeric parts gracefully.

 Store them in a List<float> originalSamples.

o Create an output List<short> allShiftedSamples.

o Loop r from 1 to 22: 

 pitchFactor = Math.Pow(2.0, (double)r / 22.0);

 Create List<float> currentShiftedFloatSamples.

 For each segment or for the whole originalSamples (the problem doesn't clearly state if "Sa Re Ga Ma" are distinct segments to be processed or if the whole sequence is one block): Assume for now the whole sequence is one block.

 The number of output samples for this shifted version will be the same as originalSamples.Count to maintain duration.

 Loop i from 0 to originalSamples.Count - 1: 

 originalIndex = i / pitchFactor;

 sampleValue = LinearInterpolate(originalSamples, originalIndex);

 Add sampleValue to currentShiftedFloatSamples.

 Convert currentShiftedFloatSamples to short (16-bit PCM) and add to allShiftedSamples. 

 shortPcmSample = (short)Math.Max(short.MinValue, Math.Min(short.MaxValue, floatSample * 32767.0));

o Write the WAV file: 

 Open FileStream and BinaryWriter.

 Calculate header fields based on allShiftedSamples.Count.

 Write header.

 Write all short samples from allShiftedSamples.

Linear Interpolation Function:

C#

float LinearInterpolate(List<float> samples, double index)

{

    if (index < 0) return samples[0];

    if (index >= samples.Count - 1) return samples[samples.Count - 1];

    int floorIndex = (int)index;

    double fraction = index - floorIndex;

    float s1 = samples[floorIndex];

    float s2 = samples[floorIndex + 1];

    return (float)(s1 + (s2 - s1) * fraction);

}

Structure of the C# Program:

• Program class with Main method.

• Helper methods for: 

o Reading samples from text file.

o Linear interpolation.

o Writing WAV file (including header).

Considerations for "Sa Re Ga Ma Pa Dha Ni Sa":

The prompt mentions "durations of each notes remain same". This implies the input might be structured as notes. If the text file simply contains a stream of numbers, it's hard to know where one note ends and another begins without more information (like duration of each note or markers). If the problem means the overall duration of the "Sa Re Ga Ma..." phrase is what's preserved for each shifted version, then processing originalSamples as one continuous block is correct. The current interpretation is that the entire input sequence is one "sound" whose pitch is shifted 22 times, with each shifted version having the same duration as the original sequence.

File Paths: Input file path and output file path will be needed. These can be hardcoded for simplicity or taken as command-line arguments.

WAV File Details:

• Sample Rate: Let's pick one, e.g., 22050 Hz, to keep file sizes manageable. The choice of sample rate affects the maximum frequency that can be represented (Nyquist frequency).

• BitsPerSample: 16

• NumChannels: 1 (Mono)

Refining the Pitch Shifting and Duration:

If we have N original samples, and we want to produce N pitch-shifted samples to maintain duration: Output sample out[j] for j from 0 to N-1. The "time" in the original signal corresponding to out[j] is t_original = j / pitchShiftFactor. So, out[j] = interpolate(originalSamples, j / pitchShiftFactor).

This seems like the most straightforward interpretation of "frequency shifted" with "durations of each notes remain same" without going into complex DSP that's typically handled by libraries.

Example of r loop: The output file will contain:

1. Original sound shifted by 2^(1/22)

2. Original sound shifted by 2^(2/22) ...

3. Original sound shifted by 2^(22/22) = 2 (octave higher)

Each of these 22 versions will have the same number of samples (and thus same duration at the given sample rate) as the original input sound. The total number of samples in the output WAV will be 22 * originalSamples.Count.

Code Structure:

C#

// Program.cs

public class AudioProcessor

{

    const int SAMPLE_RATE = 22050; // Or 44100 Hz. Let's use a common one.

    const short BITS_PER_SAMPLE = 16;

    const short NUM_CHANNELS = 1; // Mono

    public static void Main(string[] args)

    {

        string inputFile = "input_audio_samples.txt"; // Path to input text file

        string outputFile = "output_shifted_audio.wav"; // Path to output WAV file

        List<float> originalSamples = ReadSamplesFromTextFile(inputFile);

        if (originalSamples == null || originalSamples.Count == 0)

        {

            Console.WriteLine("No samples read from input file.");

            return;

        }

        Console.WriteLine($"Read {originalSamples.Count} original samples.");

        List<short> finalPcmData = new List<short>();

        for (int r = 1; r <= 22; r++)

        {

            double pitchFactor = Math.Pow(2.0, (double)r / 22.0);

            Console.WriteLine($"Processing shift r={r}, pitchFactor={pitchFactor:F4}");

            List<float> shiftedFloatSamples = new List<float>();

            int numOutputSamples = originalSamples.Count; // Maintain duration

            for (int i = 0; i < numOutputSamples; i++)

            {

                double originalIndex = (double)i / pitchFactor;

                float sampleValue = LinearInterpolate(originalSamples, originalIndex);

                shiftedFloatSamples.Add(sampleValue);

            }

            // Convert to 16-bit PCM and add to final list

            foreach (float floatSample in shiftedFloatSamples)

            {

                short pcmSample = (short)Math.Max(short.MinValue, Math.Min(short.MaxValue, floatSample * 32767.0));

                finalPcmData.Add(pcmSample);

            }

            Console.WriteLine($"Generated {shiftedFloatSamples.Count} samples for r={r}. Total PCM samples now: {finalPcmData.Count}");

        }

        WriteWavFile(outputFile, finalPcmData, SAMPLE_RATE, NUM_CHANNELS, BITS_PER_SAMPLE);

        Console.WriteLine($"Successfully generated WAV file: {outputFile}");

    }

    public static List<float> ReadSamplesFromTextFile(string filePath)

    {

        List<float> samples = new List<float>();

        try

        {

            string[] lines = File.ReadAllLines(filePath);

            foreach (string line in lines)

            {

                string[] values = line.Split(new[] { ' ', '\t', ',' }, StringSplitOptions.RemoveEmptyEntries);

                foreach (string valStr in values)

                {

                    if (float.TryParse(valStr, System.Globalization.NumberStyles.Any, System.Globalization.CultureInfo.InvariantCulture, out float sample))

                    {

                        samples.Add(sample);

                    }

                    else

                    {

                        // Console.WriteLine($"Warning: Could not parse '{valStr}' as float.");

                    }

                }

            }

        }

        catch (Exception ex)

        {

            Console.WriteLine($"Error reading sample file: {ex.Message}");

            return null;

        }

        return samples;

    }

    public static float LinearInterpolate(List<float> samples, double index)

    {

        int count = samples.Count;

        if (count == 0) return 0f; // Should not happen if called after checking samples.Count

        // Boundary conditions

        if (index <= 0) return samples[0];

        if (index >= count - 1) return samples[count - 1];

        int floorIndex = (int)index;

        double fraction = index - floorIndex;

        // Ensure floorIndex and floorIndex + 1 are within bounds,

        // though the checks above should handle most cases.

        // This check is more for safety if index is very close to count-1

        if (floorIndex < 0) floorIndex = 0;

        if (floorIndex >= count -1) return samples[count-1]; // if index is exactly count-1, fraction is 0, floorIndex is count-1.

        float s1 = samples[floorIndex];

        float s2 = samples[floorIndex + 1];

        return (float)(s1 + (s2 - s1) * fraction);

    }

    public static void WriteWavFile(string filePath, List<short> pcmData, int sampleRate, short numChannels, short bitsPerSample)

    {

        try

        {

            using (FileStream fs = new FileStream(filePath, FileMode.Create))

            using (BinaryWriter bw = new BinaryWriter(fs))

            {

                // RIFF Chunk

                bw.Write(new char[] { 'R', 'I', 'F', 'F' }); // ChunkID

                int fileSize = 36 + pcmData.Count * numChannels * (bitsPerSample / 8);

                bw.Write(fileSize); // ChunkSize (Total file size - 8 bytes)

                bw.Write(new char[] { 'W', 'A', 'V', 'E' }); // Format

                // fmt SubChunk

                bw.Write(new char[] { 'f', 'm', 't', ' ' }); // Subchunk1ID

                bw.Write(16); // Subchunk1Size (16 for PCM)

                bw.Write((short)1); // AudioFormat (1 for PCM)

                bw.Write(numChannels); // NumChannels

                bw.Write(sampleRate); // SampleRate

                int byteRate = sampleRate * numChannels * (bitsPerSample / 8);

                bw.Write(byteRate); // ByteRate

                short blockAlign = (short)(numChannels * (bitsPerSample / 8));

                bw.Write(blockAlign); // BlockAlign

                bw.Write(bitsPerSample); // BitsPerSample

                // data SubChunk

                bw.Write(new char[] { 'd', 'a', 't', 'a' }); // Subchunk2ID

                int dataSize = pcmData.Count * numChannels * (bitsPerSample / 8);

                bw.Write(dataSize); // Subchunk2Size (size of actual sound data)

                // PCM Data

                foreach (short sample in pcmData)

                {

                    bw.Write(sample);

                }

            }

        }

        catch (Exception ex)

        {

            Console.WriteLine($"Error writing WAV file: {ex.Message}");

        }

    }

}

Self-Correction/Refinement during thought process:

• Input data format: "16 bit floating data samples" in a text file. This is unusual. Typically, text files would contain human-readable floats (e.g., "0.123", "-0.456"). The "16-bit" part might be a misstatement or refer to the target WAV format. I'll assume the text file contains standard float representations. If it means something else (like text representation of hex for 16-bit floats), the parsing ReadSamplesFromTextFile would need to change. Given "read only the numbers", standard float parsing seems most likely.

• Sample Rate: The problem doesn't specify the sample rate of the input data or the desired output WAV. This is crucial. I've assumed a constant SAMPLE_RATE (e.g., 22050 Hz or 44100 Hz) for the output WAV. The pitch shifting is relative to the original samples' implicit timing. If the input samples were captured at a specific rate, using that same rate for the output WAV makes sense.

• Quality of Pitch Shifting: Linear interpolation is basic. For musical content, it can introduce artifacts. More advanced methods (sinc interpolation, or frequency-domain methods) would give better quality but are much harder to implement from scratch. Given the "no third-party API" constraint, linear interpolation is a reasonable compromise for simplicity.

• "Sa Re Ga Ma..." meaning: The prompt mentions this musical phrase. My current approach treats the entire input stream as one continuous sound. If these notes have specific timings or are meant to be individually processed and then reassembled, the logic would need to be more complex (identifying note boundaries). The current interpretation is that the whole phrase is pitch-shifted as a single unit.

• Floating point precision: Using float for samples from the text file and double for pitchFactor and intermediate calculations (originalIndex) is generally fine.

• Error Handling: Added basic try-catch blocks for file operations. More robust error handling could be added (e.g., for parsing).

• Invariant Culture for Parsing: Using CultureInfo.InvariantCulture for parsing floats from the text file is important to handle decimal points consistently, regardless of the system's regional settings.

• Boundary conditions in Interpolate: Added checks for index being out of bounds. If index is 0 or samples.Count - 1, interpolation should return the boundary sample. My LinearInterpolate handles index <= 0 and index >= count - 1.

o If index is very close to count - 1 such that floorIndex becomes count - 1, then samples[floorIndex + 1] would be out of bounds.

o Corrected logic: if (index >= count - 1) return samples[count - 1]; handles this. floorIndex will be at most count - 2 if index < count - 1. If index is exactly count-1, floorIndex is count-1, fraction is 0, s1 is samples[count-1], s2 would be samples[count] (error).

o The current LinearInterpolate logic: if (index >= samples.Count - 1) return samples[samples.Count - 1]; This means floorIndex can be at most samples.Count - 2 when fraction > 0. If index is exactly samples.Count - 1, it returns samples[samples.Count - 1]. If index is samples.Count - 1.5, then floorIndex is samples.Count - 2. s1 = samples[samples.Count - 2], s2 = samples[samples.Count - 1]. This seems correct.

• WAV File Size Calculation: ChunkSize in RIFF header is Total File Size - 8. My formula 36 + pcmData.Count * numChannels * (bitsPerSample / 8) is (size of header fields after 'RIFF' and ChunkSize itself) + (size of data). This is correct. 36 bytes = 4 (WAVE) + 4 (fmt ) + 4 (fmt_size) + 2 (audio_fmt) + 2 (num_channels) + 4 (sample_rate) + 4 (byte_rate) + 2 (block_align) + 2 (bits_per_sample) + 4 (data) + 4 (data_size). This is the size of all fields after "RIFF" and its own size field. So fileSize - 8 is correct.

The problem states "16 bit floating data samples". This is still a bit ambiguous. If the text file literally contains numbers that are already scaled as if they were 16-bit integers but stored as floats (e.g., "1000.0", "-500.0"), then the scaling * 32767.0 might be incorrect or need adjustment. However, it's more conventional for floating point samples in a text file to be normalized (e.g., -1.0 to 1.0). I will proceed with this assumption. The phrase "16 bit floating" could just be a slightly confused way of saying "the data represents audio that will eventually be 16-bit, and it's currently in a floating-point representation."

Final check on the number of copies: "22 copies of same thing mono where each samples will shifted... r copies with such shifted frequencies". This sounds like there will be 22 distinct versions, each corresponding to one 'r' value. My loop for (int r = 1; r <= 22; r++) generates these 22 versions and concatenates them. This matches the requirement.

The prompt "read only the numbers" is handled by float.TryParse and skipping non-parsable parts.

The solution seems robust enough for the given constraints. The C# code will be presented in an immersive block. The introduction will explain what the program does and its main features/limitations (like linear interpolation for pitch shifting). The conclusion will summarize and perhaps suggest how to create a sample input file.

Okay, I can help you with a C# program that aims to achieve this. This program will:

1. Read floating-point numbers from a specified input text file. These numbers are assumed to be audio samples (e.g., normalized between -1.0 and 1.0).

2. For each of the 22 iterations (r=1 to 22): 

o It will generate a new version of the original audio sequence.

o The pitch of this new version will be shifted by a factor of 2&lt;sup>(r/22)&lt;/sup>.

o The duration of this shifted audio will be kept the same as the original sequence. This is achieved by resampling the original audio using linear interpolation.

3. All 22 pitch-shifted versions will be concatenated together.

4. The final combined audio will be written to a PCM WAV file. The WAV file will be mono, with a 16-bit depth. You can set the sample rate in the code (e.g., 22050 Hz or 44100 Hz).

5. The program will be written entirely in C# without relying on any third-party audio processing libraries.

Important Considerations:

• Input File Format: The program expects the input text file to contain numbers (parsable as floats) separated by spaces, tabs, or commas. Each number represents an audio sample. Non-numeric text will be ignored.

• Sample Rate: The quality and pitch of the audio are dependent on the sample rate. You'll need to decide on a sample rate (e.g., 22050 Hz, 44100 Hz) which will be used for the output WAV file. The interpretation of the input samples' timing is relative to this rate.

• Pitch Shifting Quality: The pitch shifting is done using resampling with linear interpolation. This is a basic method. For high-quality pitch shifting without affecting duration, more complex algorithms (like PSOLA or Phase Vocoder) are typically used, but these are significantly more challenging to implement from scratch. Linear interpolation might introduce some audio artifacts, especially for large pitch shifts.

• "16 bit floating data samples": This phrase in your request is a bit ambiguous. Standard PCM WAV files use integer samples (like 16-bit signed integers). Floating-point samples are usually normalized (e.g., -1.0 to 1.0). The program assumes the input text file contains such normalized floating-point numbers, which are then scaled to 16-bit integers for the WAV output.

Here's the C# code:

C# Audio Pitch Shifter & WAV Generator

May 31, 5:57 AM

Try again without Canvas 

This program provides the core functionality you requested. The pitch shifting quality is basic due to the use of linear interpolation, but it fulfills the requirement of not using third-party libraries.

To use this:

1. Save the code as AudioPitchShifter.cs (or any other .cs name).

2. Create a text file named input_audio_samples.txt in the same directory where you compile and run the program. Populate this file with your 16-bit floating-point data samples (e.g., numbers between -1.0 and 1.0, separated by spaces or on new lines). The program will also create a dummy input file if it's missing, to give you a template.

3. Compile and run the C# program. For example, using the .NET SDK command line: dotnet new console -o MyAudioApp (if you need to create a project first) (Copy the code into Program.cs in MyAudioApp) dotnet run Or, if you just have the .cs file: csc AudioPitchShifter.cs AudioPitchShifter.exe (on Windows) or mono AudioPitchShifter.exe (on systems with Mono).

A file named output_shifted_audio.wav should be generated.

using System;

using System.Collections.Generic;

using System.IO;

using System.Globalization; // Required for CultureInfo

public class AudioPitchShifter

{

    // --- Configuration ---

    // You can adjust the sample rate as needed. Common values are 22050, 44100.

    // Higher sample rates can represent higher frequencies but result in larger files.

    const int OUTPUT_SAMPLE_RATE = 22050; // Hz

    const short BITS_PER_SAMPLE = 16;    // 16-bit PCM

    const short NUM_CHANNELS = 1;        // Mono audio

    public static void Main(string[] args)

    {

        // Define input and output file paths

        // Ensure 'input_audio_samples.txt' exists in the same directory as the executable,

        // or provide a full path.

        string inputFile = "input_audio_samples.txt";

        string outputFile = "output_shifted_audio.wav";

        Console.WriteLine($"Starting audio processing...");

        Console.WriteLine($"Input Text File: {Path.GetFullPath(inputFile)}");

        Console.WriteLine($"Output WAV File: {Path.GetFullPath(outputFile)}");

        Console.WriteLine($"Output Sample Rate: {OUTPUT_SAMPLE_RATE} Hz");

        // Step 1: Read floating-point samples from the text file

        List<float> originalSamples = ReadSamplesFromTextFile(inputFile);

        if (originalSamples == null || originalSamples.Count == 0)

        {

            Console.WriteLine("Error: No valid samples read from the input file. Exiting.");

            // Create a dummy input file if it doesn't exist, to help the user.

            if (!File.Exists(inputFile))

            {

                CreateDummyInputFile(inputFile);

            }

            return;

        }

        Console.WriteLine($"Successfully read {originalSamples.Count} original samples from '{inputFile}'.");

        // This list will hold all the 16-bit PCM samples for the final WAV file

        List<short> finalPcmData = new List<short>();

        // Step 2 & 3: Generate 22 pitch-shifted versions and concatenate them

        for (int r = 1; r <= 22; r++)

        {

            // Calculate the pitch shift factor for the current iteration

            double pitchShiftFactor = Math.Pow(2.0, (double)r / 22.0);

            Console.WriteLine($"Processing version r={r}: Pitch shift factor = {pitchShiftFactor:F4}");

            List<float> currentShiftedFloatSamples = new List<float>();

            // To maintain the same duration, the number of output samples for this

            // shifted version will be the same as the original.

            int numOutputSamplesForThisVersion = originalSamples.Count;

            for (int i = 0; i < numOutputSamplesForThisVersion; i++)

            {

                // Calculate the corresponding index in the original samples.

                // If pitchShiftFactor > 1 (pitch up), we read original samples faster.

                // If pitchShiftFactor < 1 (pitch down), we read original samples slower.

                double originalSampleIndex = (double)i / pitchShiftFactor;

                // Use linear interpolation to get the sample value at the calculated index

                float sampleValue = LinearInterpolate(originalSamples, originalSampleIndex);

                currentShiftedFloatSamples.Add(sampleValue);

            }

            // Convert the floating-point samples for this version to 16-bit PCM

            // and add them to the final list.

            // Samples are clamped to the 16-bit range.

            foreach (float floatSample in currentShiftedFloatSamples)

            {

                short pcmSample = (short)Math.Max(short.MinValue, Math.Min(short.MaxValue, floatSample * 32767.0f));

                finalPcmData.Add(pcmSample);

            }

            Console.WriteLine($"Generated {currentShiftedFloatSamples.Count} samples for r={r}. Total PCM samples now: {finalPcmData.Count}");

        }

        // Step 4: Write the combined PCM data to a WAV file

        if (finalPcmData.Count > 0)

        {

            WriteWavFile(outputFile, finalPcmData, OUTPUT_SAMPLE_RATE, NUM_CHANNELS, BITS_PER_SAMPLE);

            Console.WriteLine($"Successfully generated WAV file: '{outputFile}' with {finalPcmData.Count} total samples.");

        }

        else

        {

            Console.WriteLine("No PCM data was generated. Output WAV file not created.");

        }

        Console.WriteLine("Processing finished.");

    }

    /// <summary>

    /// Reads floating-point numbers from a text file.

    /// Assumes numbers are separated by spaces, tabs, or commas.

    /// Ignores lines starting with '#' (comments).

    /// </summary>

    /// <param name="filePath">Path to the input text file.</param>

    /// <returns>A list of float samples, or null if an error occurs.</returns>

    public static List<float> ReadSamplesFromTextFile(string filePath)

    {

        List<float> samples = new List<float>();

        if (!File.Exists(filePath))

        {

            Console.WriteLine($"Error: Input file not found at '{filePath}'.");

            return null;

        }

        try

        {

            string[] lines = File.ReadAllLines(filePath);

            foreach (string line in lines)

            {

                if (string.IsNullOrWhiteSpace(line) || line.TrimStart().StartsWith("#"))

                {

                    continue; // Skip empty lines and comments

                }

                // Split by common delimiters: space, tab, comma

                string[] values = line.Split(new[] { ' ', '\t', ',' }, StringSplitOptions.RemoveEmptyEntries);

                foreach (string valStr in values)

                {

                    // Use InvariantCulture for consistent parsing of decimal points

                    if (float.TryParse(valStr, NumberStyles.Any, CultureInfo.InvariantCulture, out float sample))

                    {

                        samples.Add(sample);

                    }

                    else

                    {

                        Console.WriteLine($"Warning: Could not parse '{valStr}' as a float from line: '{line}'. It will be skipped.");

                    }

                }

            }

        }

        catch (Exception ex)

        {

            Console.WriteLine($"Error reading sample file '{filePath}': {ex.Message}");

            return null;

        }

        return samples;

    }

    /// <summary>

    /// Performs linear interpolation on a list of samples.

    /// </summary>

    /// <param name="samples">The list of source samples.</param>

    /// <param name="index">The (potentially fractional) index to retrieve a sample from.</param>

    /// <returns>The interpolated sample value.</returns>

    public static float LinearInterpolate(List<float> samples, double index)

    {

        int count = samples.Count;

        if (count == 0) return 0f; // Should ideally not happen if called after checking samples.Count

        // Boundary conditions: clamp to the first or last sample if index is out of bounds.

        if (index <= 0) return samples[0];

        if (index >= count - 1) return samples[count - 1];

        int floorIndex = (int)index;          // Integer part of the index

        double fraction = index - floorIndex; // Fractional part of the index

        float s1 = samples[floorIndex];

        float s2 = samples[floorIndex + 1];

        // Linear interpolation formula: y = y1 + (y2-y1) * fraction

        return (float)(s1 + (s2 - s1) * fraction);

    }

    /// <summary>

    /// Writes PCM data to a WAV file.

    /// </summary>

    /// <param name="filePath">Path to the output WAV file.</param>

    /// <param name="pcmData">List of 16-bit PCM samples.</param>

    /// <param name="sampleRate">The sample rate (e.g., 44100).</param>

    /// <param name="numChannels">Number of channels (e.g., 1 for mono, 2 for stereo).</param>

    /// <param name="bitsPerSample">Bits per sample (e.g., 16).</param>

    public static void WriteWavFile(string filePath, List<short> pcmData, int sampleRate, short numChannels, short bitsPerSample)

    {

        try

        {

            using (FileStream fs = new FileStream(filePath, FileMode.Create))

            using (BinaryWriter bw = new BinaryWriter(fs))

            {

                // --- RIFF Chunk Descriptor ---

                // Contains "RIFF" chunkID, chunkDataSize, and "WAVE" format.

                bw.Write(new char[] { 'R', 'I', 'F', 'F' }); // ChunkID (0x52494646)

                // ChunkDataSize: (Total file size) - 8 bytes (for ChunkID and ChunkDataSize itself)

                // It's 36 (size of all header fields after this) + size of actual sound data.

                int dataSizeBytes = pcmData.Count * numChannels * (bitsPerSample / 8);

                int riffChunkSize = 36 + dataSizeBytes;

                bw.Write(riffChunkSize);

                bw.Write(new char[] { 'W', 'A', 'V', 'E' }); // Format (0x57415645)

                // --- "fmt " Sub-Chunk ---

                // Describes the format of the sound information in the "data" sub-chunk.

                bw.Write(new char[] { 'f', 'm', 't', ' ' }); // Subchunk1ID (0x666d7420)

                bw.Write(16); // Subchunk1Size (16 for PCM)

                bw.Write((short)1); // AudioFormat (1 for PCM - Linear Quantization)

                bw.Write(numChannels); // NumChannels (Mono = 1, Stereo = 2, etc.)

                bw.Write(sampleRate); // SampleRate (e.g., 44100)

                // ByteRate = SampleRate * NumChannels * BitsPerSample/8

                int byteRate = sampleRate * numChannels * (bitsPerSample / 8);

                bw.Write(byteRate);

                // BlockAlign = NumChannels * BitsPerSample/8

                // The number of bytes for one sample including all channels.

                short blockAlign = (short)(numChannels * (bitsPerSample / 8));

                bw.Write(blockAlign);

                bw.Write(bitsPerSample); // BitsPerSample (e.g., 16)

                // --- "data" Sub-Chunk ---

                // Contains the size of the data and the actual sound data.

                bw.Write(new char[] { 'd', 'a', 't', 'a' }); // Subchunk2ID (0x64617461)

                bw.Write(dataSizeBytes); // Subchunk2Size (Number of bytes in the data)

                // Actual sound data (PCM samples)

                foreach (short sample in pcmData)

                {

                    bw.Write(sample);

                }

            }

        }

        catch (Exception ex)

        {

            Console.WriteLine($"Error writing WAV file '{filePath}': {ex.Message}");

        }

    }

    

    /// <summary>

    /// Creates a dummy input file with some sample data if it doesn't exist.

    /// This helps the user get started if they run the program without an input file.

    /// </summary>

    /// <param name="filePath">Path where the dummy input file should be created.</param>

    public static void CreateDummyInputFile(string filePath)

    {

        Console.WriteLine($"Creating a dummy input file at '{filePath}' as it was not found.");

        try

        {

            // Create a simple sine wave segment as an example

            List<string> lines = new List<string>();

            lines.Add("# This is a sample input file for the AudioPitchShifter program.");

            lines.Add("# It contains floating-point audio samples, typically normalized between -1.0 and 1.0.");

            lines.Add("# Each number is a sample. Numbers can be separated by spaces, tabs, or commas.");

            lines.Add("# Lines starting with # are comments and are ignored.");

            lines.Add(""); // Empty line

            

            // Generate a short sine wave (e.g., 1 second at 22050 Hz for a 440 Hz tone)

            // For simplicity, let's just add a few representative values.

            // A real musical phrase "Sa Re Ga Ma..." would be more complex.

            List<float> dummySamples = new List<float>();

            int numDummySamples = OUTPUT_SAMPLE_RATE / 10; // 0.1 seconds of samples

            double frequency = 440.0; // A4 note

            for (int i = 0; i < numDummySamples; i++)

            {

                dummySamples.Add((float)(0.5 * Math.Sin(2 * Math.PI * frequency * i / OUTPUT_SAMPLE_RATE)));

            }

            // Write samples, 10 per line for readability

            for(int i=0; i < dummySamples.Count; i+=10)

            {

                List<string> lineSamples = new List<string>();

                for(int j=0; j < 10 && (i+j) < dummySamples.Count; j++)

                {

                    lineSamples.Add(dummySamples[i+j].ToString("F6", CultureInfo.InvariantCulture));

                }

                lines.Add(string.Join(" ", lineSamples));

            }

            

            File.WriteAllLines(filePath, lines);

            Console.WriteLine($"Dummy input file '{filePath}' created successfully with {numDummySamples} samples.");

            Console.WriteLine("Please replace it with your actual audio data or edit it.");

        }

        catch (Exception ex)

        {

            Console.WriteLine($"Could not create dummy input file: {ex.Message}");

        }

    }

}

Amplitudes,default int bytesPerSample = 2; // Assuming 16-bit samples

Generates 14003.875_millis_112033 lines   onlysatosa8000HzSamples_sined_6bitpcms_monos_ch_1sps_8000.GTAMPS_saanS_MONO_sps_8000_actual_sps_8000.571_durs_14.003.wav

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