Add C API for streaming HLG decoding (#734)
This commit is contained in:
@@ -15,6 +15,8 @@ Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "offline-tts-play", "offline
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EndProject
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Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "spoken-language-identification", "spoken-language-identification\spoken-language-identification.csproj", "{3D7CF3D6-AC45-4D50-9619-5687B1443E94}"
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EndProject
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Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "streaming-hlg-decoding", "streaming-hlg-decoding\streaming-hlg-decoding.csproj", "{C4A368A5-FCA0-419D-97C9-C8CE0B08EB99}"
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EndProject
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Global
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
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Debug|Any CPU = Debug|Any CPU
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@@ -48,5 +50,9 @@ Global
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{3D7CF3D6-AC45-4D50-9619-5687B1443E94}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{3D7CF3D6-AC45-4D50-9619-5687B1443E94}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{3D7CF3D6-AC45-4D50-9619-5687B1443E94}.Release|Any CPU.Build.0 = Release|Any CPU
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{C4A368A5-FCA0-419D-97C9-C8CE0B08EB99}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{C4A368A5-FCA0-419D-97C9-C8CE0B08EB99}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{C4A368A5-FCA0-419D-97C9-C8CE0B08EB99}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{C4A368A5-FCA0-419D-97C9-C8CE0B08EB99}.Release|Any CPU.Build.0 = Release|Any CPU
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EndGlobalSection
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EndGlobal
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66
dotnet-examples/streaming-hlg-decoding/Program.cs
Normal file
66
dotnet-examples/streaming-hlg-decoding/Program.cs
Normal file
@@ -0,0 +1,66 @@
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// Copyright (c) 2024 Xiaomi Corporation
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//
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// This file shows how to do streaming HLG decoding.
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//
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// 1. Download the model for testing
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//
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// curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
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// tar xvf sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
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// rm sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
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//
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// 2. Now run it
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//
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// dotnet run
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using SherpaOnnx;
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using System.Collections.Generic;
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using System;
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class StreamingHlgDecodingDemo
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{
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static void Main(string[] args)
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{
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var config = new OnlineRecognizerConfig();
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config.FeatConfig.SampleRate = 16000;
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config.FeatConfig.FeatureDim = 80;
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config.ModelConfig.Zipformer2Ctc.Model = "./sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/ctc-epoch-30-avg-3-chunk-16-left-128.int8.onnx";
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config.ModelConfig.Tokens = "./sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/tokens.txt";
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config.ModelConfig.Provider = "cpu";
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config.ModelConfig.NumThreads = 1;
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config.ModelConfig.Debug = 0;
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config.CtcFstDecoderConfig.Graph = "./sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/HLG.fst";
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OnlineRecognizer recognizer = new OnlineRecognizer(config);
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var filename = "./sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/test_wavs/8k.wav";
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WaveReader waveReader = new WaveReader(filename);
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OnlineStream s = recognizer.CreateStream();
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s.AcceptWaveform(waveReader.SampleRate, waveReader.Samples);
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float[] tailPadding = new float[(int)(waveReader.SampleRate * 0.3)];
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s.AcceptWaveform(waveReader.SampleRate, tailPadding);
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s.InputFinished();
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while (recognizer.IsReady(s))
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{
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recognizer.Decode(s);
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}
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OnlineRecognizerResult r = recognizer.GetResult(s);
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var text = r.Text;
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var tokens = r.Tokens;
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Console.WriteLine("--------------------");
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Console.WriteLine(filename);
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Console.WriteLine("text: {0}", text);
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Console.WriteLine("tokens: [{0}]", string.Join(", ", tokens));
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Console.Write("timestamps: [");
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r.Timestamps.ToList().ForEach(i => Console.Write(String.Format("{0:0.00}", i) + ", "));
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Console.WriteLine("]");
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Console.WriteLine("--------------------");
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}
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}
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1
dotnet-examples/streaming-hlg-decoding/WaveReader.cs
Symbolic link
1
dotnet-examples/streaming-hlg-decoding/WaveReader.cs
Symbolic link
@@ -0,0 +1 @@
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../online-decode-files/WaveReader.cs
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11
dotnet-examples/streaming-hlg-decoding/run.sh
Executable file
11
dotnet-examples/streaming-hlg-decoding/run.sh
Executable file
@@ -0,0 +1,11 @@
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#!/usr/bin/env bash
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set -ex
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if [ ! -f ./sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/HLG.fst ]; then
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curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
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tar xvf sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
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rm sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18.tar.bz2
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fi
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dotnet run -c Release
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@@ -0,0 +1,15 @@
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>net6.0</TargetFramework>
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<RootNamespace>streaming_hlg_decoding</RootNamespace>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="org.k2fsa.sherpa.onnx" Version="*" />
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</ItemGroup>
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</Project>
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