Add Java API for non-streaming ASR (#807)

This commit is contained in:
Fangjun Kuang
2024-04-24 21:03:26 +08:00
committed by GitHub
parent c3a2e8a67c
commit 83cd533f67
24 changed files with 834 additions and 27 deletions

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@@ -1,3 +1,4 @@
lib
hs_err*
!run-streaming*.sh
!run-non-streaming*.sh

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@@ -0,0 +1,49 @@
// Copyright 2024 Xiaomi Corporation
// This file shows how to use an offline paraformer, i.e., non-streaming paraformer,
// to decode files.
import com.k2fsa.sherpa.onnx.*;
public class NonStreamingDecodeFileTransducer {
public static void main(String[] args) {
// please refer to
// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-paraformer/paraformer-models.html#csukuangfj-sherpa-onnx-paraformer-zh-2023-03-28-chinese-english
// to download model files
String model = "./sherpa-onnx-paraformer-zh-2023-03-28/model.int8.onnx";
String tokens = "./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt";
String waveFilename = "./sherpa-onnx-paraformer-zh-2023-03-28/test_wavs/3-sichuan.wav";
WaveReader reader = new WaveReader(waveFilename);
OfflineParaformerModelConfig paraformer =
OfflineParaformerModelConfig.builder().setModel(model).build();
OfflineModelConfig modelConfig =
OfflineModelConfig.builder()
.setParaformer(paraformer)
.setTokens(tokens)
.setNumThreads(1)
.setDebug(true)
.build();
OfflineRecognizerConfig config =
OfflineRecognizerConfig.builder()
.setOfflineModelConfig(modelConfig)
.setDecodingMethod("greedy_search")
.build();
OfflineRecognizer recognizer = new OfflineRecognizer(config);
OfflineStream stream = recognizer.createStream();
stream.acceptWaveform(reader.getSamples(), reader.getSampleRate());
recognizer.decode(stream);
String text = recognizer.getResult(stream).getText();
System.out.printf("filename:%s\nresult:%s\n", waveFilename, text);
stream.release();
recognizer.release();
}
}

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@@ -0,0 +1,57 @@
// Copyright 2024 Xiaomi Corporation
// This file shows how to use an offline transducer, i.e., non-streaming transducer,
// to decode files.
import com.k2fsa.sherpa.onnx.*;
public class NonStreamingDecodeFileTransducer {
public static void main(String[] args) {
// please refer to
// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-transducer/zipformer-transducer-models.html#sherpa-onnx-zipformer-gigaspeech-2023-12-12-english
// to download model files
String encoder =
"./sherpa-onnx-zipformer-gigaspeech-2023-12-12/encoder-epoch-30-avg-1.int8.onnx";
String decoder = "./sherpa-onnx-zipformer-gigaspeech-2023-12-12/decoder-epoch-30-avg-1.onnx";
String joiner = "./sherpa-onnx-zipformer-gigaspeech-2023-12-12/joiner-epoch-30-avg-1.onnx";
String tokens = "./sherpa-onnx-zipformer-gigaspeech-2023-12-12/tokens.txt";
String waveFilename =
"./sherpa-onnx-zipformer-gigaspeech-2023-12-12/test_wavs/1089-134686-0001.wav";
WaveReader reader = new WaveReader(waveFilename);
OfflineTransducerModelConfig transducer =
OfflineTransducerModelConfig.builder()
.setEncoder(encoder)
.setDecoder(decoder)
.setJoiner(joiner)
.build();
OfflineModelConfig modelConfig =
OfflineModelConfig.builder()
.setTransducer(transducer)
.setTokens(tokens)
.setNumThreads(1)
.setDebug(true)
.build();
OfflineRecognizerConfig config =
OfflineRecognizerConfig.builder()
.setOfflineModelConfig(modelConfig)
.setDecodingMethod("greedy_search")
.build();
OfflineRecognizer recognizer = new OfflineRecognizer(config);
OfflineStream stream = recognizer.createStream();
stream.acceptWaveform(reader.getSamples(), reader.getSampleRate());
recognizer.decode(stream);
String text = recognizer.getResult(stream).getText();
System.out.printf("filename:%s\nresult:%s\n", waveFilename, text);
stream.release();
recognizer.release();
}
}

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@@ -0,0 +1,50 @@
// Copyright 2024 Xiaomi Corporation
// This file shows how to use an offline whisper, i.e., non-streaming whisper,
// to decode files.
import com.k2fsa.sherpa.onnx.*;
public class NonStreamingDecodeFileWhisper {
public static void main(String[] args) {
// please refer to
// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/tiny.en.html
// to download model files
String encoder = "./sherpa-onnx-whisper-tiny.en/tiny.en-encoder.int8.onnx";
String decoder = "./sherpa-onnx-whisper-tiny.en/tiny.en-decoder.int8.onnx";
String tokens = "./sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt";
String waveFilename = "./sherpa-onnx-whisper-tiny.en/test_wavs/1.wav";
WaveReader reader = new WaveReader(waveFilename);
OfflineWhisperModelConfig whisper =
OfflineWhisperModelConfig.builder().setEncoder(encoder).setDecoder(decoder).build();
OfflineModelConfig modelConfig =
OfflineModelConfig.builder()
.setWhisper(whisper)
.setTokens(tokens)
.setNumThreads(1)
.setDebug(true)
.build();
OfflineRecognizerConfig config =
OfflineRecognizerConfig.builder()
.setOfflineModelConfig(modelConfig)
.setDecodingMethod("greedy_search")
.build();
OfflineRecognizer recognizer = new OfflineRecognizer(config);
OfflineStream stream = recognizer.createStream();
stream.acceptWaveform(reader.getSamples(), reader.getSampleRate());
recognizer.decode(stream);
String text = recognizer.getResult(stream).getText();
System.out.printf("filename:%s\nresult:%s\n", waveFilename, text);
stream.release();
recognizer.release();
}
}

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@@ -4,8 +4,18 @@ This directory contains examples for the JAVA API of sherpa-onnx.
# Usage
## Streaming Speech recognition
```
./run-streaming-decode-file-ctc.sh
./run-streaming-decode-file-paraformer.sh
./run-streaming-decode-file-transducer.sh
```
## Non-Streaming Speech recognition
```bash
./run-non-streaming-decode-file-paraformer.sh
./run-non-streaming-decode-file-transducer.sh
./run-non-streaming-decode-file-whisper.sh
```

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@@ -1,4 +1,3 @@
// Copyright 2022-2023 by zhaoming
// Copyright 2024 Xiaomi Corporation
// This file shows how to use an online CTC model, i.e., streaming CTC model,
@@ -16,8 +15,6 @@ public class StreamingDecodeFileCtc {
String waveFilename = "./sherpa-onnx-streaming-zipformer-ctc-small-2024-03-18/test_wavs/8k.wav";
WaveReader reader = new WaveReader(waveFilename);
System.out.println(reader.getSampleRate());
System.out.println(reader.getSamples().length);
OnlineZipformer2CtcModelConfig ctc =
OnlineZipformer2CtcModelConfig.builder().setModel(model).build();

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@@ -1,4 +1,3 @@
// Copyright 2022-2023 by zhaoming
// Copyright 2024 Xiaomi Corporation
// This file shows how to use an online paraformer, i.e., streaming paraformer,
@@ -16,8 +15,6 @@ public class StreamingDecodeFileParaformer {
String waveFilename = "./sherpa-onnx-streaming-paraformer-bilingual-zh-en/test_wavs/2.wav";
WaveReader reader = new WaveReader(waveFilename);
System.out.println(reader.getSampleRate());
System.out.println(reader.getSamples().length);
OnlineParaformerModelConfig paraformer =
OnlineParaformerModelConfig.builder().setEncoder(encoder).setDecoder(decoder).build();

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@@ -22,8 +22,6 @@ public class StreamingDecodeFileTransducer {
"./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/test_wavs/0.wav";
WaveReader reader = new WaveReader(waveFilename);
System.out.println(reader.getSampleRate());
System.out.println(reader.getSamples().length);
OnlineTransducerModelConfig transducer =
OnlineTransducerModelConfig.builder()

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@@ -0,0 +1,52 @@
#!/usr/bin/env bash
set -ex
if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
mkdir -p ../build
pushd ../build
cmake \
-DSHERPA_ONNX_ENABLE_PYTHON=OFF \
-DSHERPA_ONNX_ENABLE_TESTS=OFF \
-DSHERPA_ONNX_ENABLE_CHECK=OFF \
-DBUILD_SHARED_LIBS=ON \
-DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
-DSHERPA_ONNX_ENABLE_JNI=ON \
..
make -j4
ls -lh lib
popd
fi
if [ ! -f ../sherpa-onnx/java-api/build/sherpa-onnx.jar ]; then
pushd ../sherpa-onnx/java-api
make
popd
fi
if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
cmake \
-DSHERPA_ONNX_ENABLE_PYTHON=OFF \
-DSHERPA_ONNX_ENABLE_TESTS=OFF \
-DSHERPA_ONNX_ENABLE_CHECK=OFF \
-DBUILD_SHARED_LIBS=ON \
-DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
-DSHERPA_ONNX_ENABLE_JNI=ON \
..
make -j4
ls -lh lib
fi
if [ ! -f ./sherpa-onnx-paraformer-zh-2023-03-28/tokens.txt ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
tar xvf sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
rm sherpa-onnx-paraformer-zh-2023-03-28.tar.bz2
fi
java \
-Djava.library.path=$PWD/../build/lib \
-cp ../sherpa-onnx/java-api/build/sherpa-onnx.jar \
NonStreamingDecodeFileParaformer.java

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@@ -0,0 +1,52 @@
#!/usr/bin/env bash
set -ex
if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
mkdir -p ../build
pushd ../build
cmake \
-DSHERPA_ONNX_ENABLE_PYTHON=OFF \
-DSHERPA_ONNX_ENABLE_TESTS=OFF \
-DSHERPA_ONNX_ENABLE_CHECK=OFF \
-DBUILD_SHARED_LIBS=ON \
-DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
-DSHERPA_ONNX_ENABLE_JNI=ON \
..
make -j4
ls -lh lib
popd
fi
if [ ! -f ../sherpa-onnx/java-api/build/sherpa-onnx.jar ]; then
pushd ../sherpa-onnx/java-api
make
popd
fi
if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
cmake \
-DSHERPA_ONNX_ENABLE_PYTHON=OFF \
-DSHERPA_ONNX_ENABLE_TESTS=OFF \
-DSHERPA_ONNX_ENABLE_CHECK=OFF \
-DBUILD_SHARED_LIBS=ON \
-DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
-DSHERPA_ONNX_ENABLE_JNI=ON \
..
make -j4
ls -lh lib
fi
if [ ! -f ./sherpa-onnx-zipformer-gigaspeech-2023-12-12/tokens.txt ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-gigaspeech-2023-12-12.tar.bz2
tar xvf sherpa-onnx-zipformer-gigaspeech-2023-12-12.tar.bz2
rm sherpa-onnx-zipformer-gigaspeech-2023-12-12.tar.bz2
fi
java \
-Djava.library.path=$PWD/../build/lib \
-cp ../sherpa-onnx/java-api/build/sherpa-onnx.jar \
NonStreamingDecodeFileTransducer.java

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@@ -0,0 +1,52 @@
#!/usr/bin/env bash
set -ex
if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
mkdir -p ../build
pushd ../build
cmake \
-DSHERPA_ONNX_ENABLE_PYTHON=OFF \
-DSHERPA_ONNX_ENABLE_TESTS=OFF \
-DSHERPA_ONNX_ENABLE_CHECK=OFF \
-DBUILD_SHARED_LIBS=ON \
-DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
-DSHERPA_ONNX_ENABLE_JNI=ON \
..
make -j4
ls -lh lib
popd
fi
if [ ! -f ../sherpa-onnx/java-api/build/sherpa-onnx.jar ]; then
pushd ../sherpa-onnx/java-api
make
popd
fi
if [[ ! -f ../build/lib/libsherpa-onnx-jni.dylib && ! -f ../build/lib/libsherpa-onnx-jni.so ]]; then
cmake \
-DSHERPA_ONNX_ENABLE_PYTHON=OFF \
-DSHERPA_ONNX_ENABLE_TESTS=OFF \
-DSHERPA_ONNX_ENABLE_CHECK=OFF \
-DBUILD_SHARED_LIBS=ON \
-DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
-DSHERPA_ONNX_ENABLE_JNI=ON \
..
make -j4
ls -lh lib
fi
if [ ! -f ./sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt ]; then
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.en.tar.bz2
tar xvf sherpa-onnx-whisper-tiny.en.tar.bz2
rm sherpa-onnx-whisper-tiny.en.tar.bz2
fi
java \
-Djava.library.path=$PWD/../build/lib \
-cp ../sherpa-onnx/java-api/build/sherpa-onnx.jar \
NonStreamingDecodeFileWhisper.java