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Fixed channels issue on GetAvgSamples
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| { | ||
| "dotnet.defaultSolution": "Whisper.net.sln" | ||
| } |
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23 changes: 23 additions & 0 deletions
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examples/ContinuousRecognition/ContinuousRecognition.csproj
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| <Project Sdk="Microsoft.NET.Sdk"> | ||
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| <PropertyGroup> | ||
| <OutputType>Exe</OutputType> | ||
| <TargetFramework>net6.0</TargetFramework> | ||
| <ImplicitUsings>enable</ImplicitUsings> | ||
| <Nullable>enable</Nullable> | ||
| </PropertyGroup> | ||
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| <ItemGroup> | ||
| <PackageReference Include="Whisper.net.Runtime" Version="1.4.3" /> | ||
| </ItemGroup> | ||
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| <ItemGroup> | ||
| <None Include="../TestData/bush.wav"> | ||
| <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory> | ||
| </None> | ||
| </ItemGroup> | ||
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| <ItemGroup> | ||
| <ProjectReference Include="..\..\Whisper.net\Whisper.net.csproj" /> | ||
| </ItemGroup> | ||
| </Project> |
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| // Licensed under the MIT license: https://opensource.org/licenses/MIT | ||
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| using System; | ||
| using Whisper.net; | ||
| using Whisper.net.Ggml; | ||
| using Whisper.net.Wave; | ||
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| var ggmlType = GgmlType.TinyEn; | ||
| var modelFileName = "ggml-tinyen.bin"; | ||
| var wavFileName = "bush.wav"; | ||
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| var maxProcessingTimeMs = 10000; | ||
| var minProcessingTimeMs = 1500; | ||
| var advancingProcessingTimeMs = 500; | ||
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| if (!File.Exists(modelFileName)) | ||
| { | ||
| await DownloadModel(modelFileName, ggmlType); | ||
| } | ||
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| using var whisperFactory = WhisperFactory.FromPath(modelFileName); | ||
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| var builder = whisperFactory.CreateBuilder() | ||
| .WithProbabilities() | ||
| .WithLanguage("en"); | ||
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| using var fileStream = File.OpenRead(wavFileName); | ||
| var waveParser = new WaveParser(fileStream); | ||
| await waveParser.InitializeAsync(); | ||
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| var samples = new float[waveParser.SampleRate / 1000 * maxProcessingTimeMs]; | ||
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| // Process first the minimum processing time of the audio file | ||
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| // Read first min processing time into samples | ||
| var dataPosition = waveParser.DataChunkPosition; | ||
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| fileStream.Seek(dataPosition, SeekOrigin.Begin); | ||
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| var partialResults = new List<(List<SegmentData> segments, TimeSpan startTime, TimeSpan endTime)>(); | ||
| var buffer = new byte[waveParser.SampleRate / 1000 * maxProcessingTimeMs * 2 * waveParser.Channels]; | ||
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| var bufferSize = waveParser.SampleRate / 1000 * minProcessingTimeMs * 2 * waveParser.Channels; | ||
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| var bytesRead = await fileStream.ReadAsync(buffer.AsMemory(0, (int)bufferSize)); | ||
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| var currentSampleIndex = 0; | ||
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| for (var i = 0; i < bytesRead;) | ||
| { | ||
| long sampleSum = 0; | ||
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| for (var currentChannel = 0; currentChannel < waveParser.Channels; currentChannel++) | ||
| { | ||
| sampleSum += BitConverter.ToInt16(buffer, i); | ||
| i += 2; | ||
| } | ||
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| samples[currentSampleIndex++] = sampleSum / (float)waveParser.Channels / 32768.0f; | ||
| } | ||
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| var currentProcessedStartTime = TimeSpan.Zero; | ||
| var currentProcessedEndTime = TimeSpan.FromMilliseconds(minProcessingTimeMs); | ||
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| await using (var processor = builder.Build()) | ||
| { | ||
| var segments = new List<SegmentData>(); | ||
| await foreach (var data in processor.ProcessAsync(samples.AsMemory(0, currentSampleIndex))) | ||
| { | ||
| segments.Add(data); | ||
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| } | ||
| partialResults.Add((segments, currentProcessedStartTime, currentProcessedEndTime)); | ||
| } | ||
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| var fullText = string.Empty; | ||
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| while (currentSampleIndex < waveParser.SamplesCount) | ||
| { | ||
| bufferSize = waveParser.SampleRate / 1000 * advancingProcessingTimeMs * 2 * waveParser.Channels; | ||
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| bytesRead = await fileStream.ReadAsync(buffer.AsMemory(0, (int)bufferSize)); | ||
| for (var i = 0; i < bytesRead;) | ||
| { | ||
| long sampleSum = 0; | ||
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| for (var currentChannel = 0; currentChannel < waveParser.Channels; currentChannel++) | ||
| { | ||
| sampleSum += BitConverter.ToInt16(buffer, i); | ||
| i += 2; | ||
| } | ||
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| samples[currentSampleIndex++] = sampleSum / (float)waveParser.Channels / 32768.0f; | ||
| } | ||
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| currentProcessedEndTime = currentProcessedEndTime.Add(TimeSpan.FromMilliseconds(advancingProcessingTimeMs)); | ||
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| await using (var processor = builder.Build()) | ||
| { | ||
| var segments = new List<SegmentData>(); | ||
| await foreach (var data in processor.ProcessAsync(samples.AsMemory(0, currentSampleIndex))) | ||
| { | ||
| segments.Add(data); | ||
| } | ||
| partialResults.Add((segments, currentProcessedStartTime, currentProcessedEndTime)); | ||
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| var indexSegment = 0; | ||
| foreach (var segment in segments) | ||
| { | ||
| Console.WriteLine($"{indexSegment}: {segment.Start}->{segment.End}: {segment.Text} => with probability: {segment.Probability}"); | ||
| indexSegment++; | ||
| } | ||
| } | ||
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| var indexPartial = 0; | ||
| //TODO: Check if partials concluded to one finished segment and return it. | ||
| foreach (var partial in partialResults) | ||
| { | ||
| // Console.WriteLine(indexPartial + ":" + partial.startTime + " - " + partial.endTime + " " + partial.segments.Count + " segments\n-----------"); | ||
| indexPartial++; | ||
| // If one segment is identified. E.g. "My fellow Americans" from second 0 to second 3 => we remove that part from the samples, adding the text to the prompt and continue processing the rest of the samples. | ||
| } | ||
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| // If the total current processing time is reaching max processing time => we remove half of the samples and continue processing the rest of the samples. | ||
| if (currentProcessedEndTime.TotalMilliseconds - currentProcessedStartTime.TotalMilliseconds >= maxProcessingTimeMs) | ||
| { | ||
| // First, we copy the last part of the samples to the beginning of the array | ||
| var samplesToCopy = currentSampleIndex - maxProcessingTimeMs / 2; | ||
| for (var i = 0; i < samplesToCopy; i++) | ||
| { | ||
| samples[i] = samples[i + maxProcessingTimeMs / 2]; | ||
| } | ||
| currentProcessedStartTime = currentProcessedStartTime.Add(TimeSpan.FromMilliseconds(maxProcessingTimeMs / 2)); | ||
| currentSampleIndex = samplesToCopy; | ||
| } | ||
| } | ||
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| static async Task DownloadModel(string fileName, GgmlType ggmlType) | ||
| { | ||
| Console.WriteLine($"Downloading Model {fileName}"); | ||
| using var modelStream = await WhisperGgmlDownloader.GetGgmlModelAsync(ggmlType); | ||
| using var fileWriter = File.OpenWrite(fileName); | ||
| await modelStream.CopyToAsync(fileWriter); | ||
| } |
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