This repository has been archived on 2025-08-26. You can view files and clone it, but cannot push or open issues or pull requests.
Files
enginex-mr_series-sherpa-onnx/scripts/nodejs/index.js
Fangjun Kuang e475e750ac Support streaming zipformer CTC (#496)
* Support streaming zipformer CTC

* test online zipformer2 CTC

* Update doc of sherpa-onnx.cc

* Add Python APIs for streaming zipformer2 ctc

* Add Python API examples for streaming zipformer2 ctc

* Swift API for streaming zipformer2 CTC

* NodeJS API for streaming zipformer2 CTC

* Kotlin API for streaming zipformer2 CTC

* Golang API for streaming zipformer2 CTC

* C# API for streaming zipformer2 CTC

* Release v1.9.6
2023-12-22 13:46:33 +08:00

727 lines
22 KiB
JavaScript

// Copyright (c) 2023 Xiaomi Corporation (authors: Fangjun Kuang)
//
// Please use
//
// npm install ffi-napi ref-struct-napi
//
// before you use this file
//
//
// Please use node 13. node 16, 18, 20, and 21 are known not working.
// See also
// https://github.com/node-ffi-napi/node-ffi-napi/issues/244
// and
// https://github.com/node-ffi-napi/node-ffi-napi/issues/97
"use strict"
const debug = require("debug")("sherpa-onnx");
const os = require("os");
const path = require("path");
const ffi = require("ffi-napi");
const ref = require("ref-napi");
const fs = require("fs");
var ArrayType = require("ref-array-napi");
const FloatArray = ArrayType(ref.types.float);
const StructType = require("ref-struct-napi");
const cstring = ref.types.CString;
const cstringPtr = ref.refType(cstring);
const int32_t = ref.types.int32;
const float = ref.types.float;
const floatPtr = ref.refType(float);
const SherpaOnnxOnlineTransducerModelConfig = StructType({
"encoder" : cstring,
"decoder" : cstring,
"joiner" : cstring,
});
const SherpaOnnxOnlineParaformerModelConfig = StructType({
"encoder" : cstring,
"decoder" : cstring,
});
const SherpaOnnxOnlineZipformer2CtcModelConfig = StructType({
"model" : cstring,
});
const SherpaOnnxOnlineModelConfig = StructType({
"transducer" : SherpaOnnxOnlineTransducerModelConfig,
"paraformer" : SherpaOnnxOnlineParaformerModelConfig,
"zipformer2Ctc" : SherpaOnnxOnlineZipformer2CtcModelConfig,
"tokens" : cstring,
"numThreads" : int32_t,
"provider" : cstring,
"debug" : int32_t,
"modelType" : cstring,
});
const SherpaOnnxFeatureConfig = StructType({
"sampleRate" : int32_t,
"featureDim" : int32_t,
});
const SherpaOnnxOnlineRecognizerConfig = StructType({
"featConfig" : SherpaOnnxFeatureConfig,
"modelConfig" : SherpaOnnxOnlineModelConfig,
"decodingMethod" : cstring,
"maxActivePaths" : int32_t,
"enableEndpoint" : int32_t,
"rule1MinTrailingSilence" : float,
"rule2MinTrailingSilence" : float,
"rule3MinUtteranceLength" : float,
"hotwordsFile" : cstring,
"hotwordsScore" : float,
});
const SherpaOnnxOnlineRecognizerResult = StructType({
"text" : cstring,
"tokens" : cstring,
"tokensArr" : cstringPtr,
"timestamps" : floatPtr,
"count" : int32_t,
"json" : cstring,
});
const SherpaOnnxOnlineRecognizerPtr = ref.refType(ref.types.void);
const SherpaOnnxOnlineStreamPtr = ref.refType(ref.types.void);
const SherpaOnnxOnlineStreamPtrPtr = ref.refType(SherpaOnnxOnlineStreamPtr);
const SherpaOnnxOnlineRecognizerResultPtr =
ref.refType(SherpaOnnxOnlineRecognizerResult);
const SherpaOnnxOnlineRecognizerConfigPtr =
ref.refType(SherpaOnnxOnlineRecognizerConfig);
const SherpaOnnxOfflineTransducerModelConfig = StructType({
"encoder" : cstring,
"decoder" : cstring,
"joiner" : cstring,
});
const SherpaOnnxOfflineParaformerModelConfig = StructType({
"model" : cstring,
});
const SherpaOnnxOfflineNemoEncDecCtcModelConfig = StructType({
"model" : cstring,
});
const SherpaOnnxOfflineWhisperModelConfig = StructType({
"encoder" : cstring,
"decoder" : cstring,
});
const SherpaOnnxOfflineTdnnModelConfig = StructType({
"model" : cstring,
});
const SherpaOnnxOfflineLMConfig = StructType({
"model" : cstring,
"scale" : float,
});
const SherpaOnnxOfflineModelConfig = StructType({
"transducer" : SherpaOnnxOfflineTransducerModelConfig,
"paraformer" : SherpaOnnxOfflineParaformerModelConfig,
"nemoCtc" : SherpaOnnxOfflineNemoEncDecCtcModelConfig,
"whisper" : SherpaOnnxOfflineWhisperModelConfig,
"tdnn" : SherpaOnnxOfflineTdnnModelConfig,
"tokens" : cstring,
"numThreads" : int32_t,
"debug" : int32_t,
"provider" : cstring,
"modelType" : cstring,
});
const SherpaOnnxOfflineRecognizerConfig = StructType({
"featConfig" : SherpaOnnxFeatureConfig,
"modelConfig" : SherpaOnnxOfflineModelConfig,
"lmConfig" : SherpaOnnxOfflineLMConfig,
"decodingMethod" : cstring,
"maxActivePaths" : int32_t,
"hotwordsFile" : cstring,
"hotwordsScore" : float,
});
const SherpaOnnxOfflineRecognizerResult = StructType({
"text" : cstring,
"timestamps" : floatPtr,
"count" : int32_t,
});
const SherpaOnnxOfflineRecognizerPtr = ref.refType(ref.types.void);
const SherpaOnnxOfflineStreamPtr = ref.refType(ref.types.void);
const SherpaOnnxOfflineStreamPtrPtr = ref.refType(SherpaOnnxOfflineStreamPtr);
const SherpaOnnxOfflineRecognizerResultPtr =
ref.refType(SherpaOnnxOfflineRecognizerResult);
const SherpaOnnxOfflineRecognizerConfigPtr =
ref.refType(SherpaOnnxOfflineRecognizerConfig);
// vad
const SherpaOnnxSileroVadModelConfig = StructType({
"model" : cstring,
"threshold" : float,
"minSilenceDuration" : float,
"minSpeechDuration" : float,
"windowSize" : int32_t,
});
const SherpaOnnxVadModelConfig = StructType({
"sileroVad" : SherpaOnnxSileroVadModelConfig,
"sampleRate" : int32_t,
"numThreads" : int32_t,
"provider" : cstring,
"debug" : int32_t,
});
const SherpaOnnxSpeechSegment = StructType({
"start" : int32_t,
"samples" : FloatArray,
"n" : int32_t,
});
const SherpaOnnxVadModelConfigPtr = ref.refType(SherpaOnnxVadModelConfig);
const SherpaOnnxSpeechSegmentPtr = ref.refType(SherpaOnnxSpeechSegment);
const SherpaOnnxCircularBufferPtr = ref.refType(ref.types.void);
const SherpaOnnxVoiceActivityDetectorPtr = ref.refType(ref.types.void);
// tts
const SherpaOnnxOfflineTtsVitsModelConfig = StructType({
"model" : cstring,
"lexicon" : cstring,
"tokens" : cstring,
"dataDir" : cstring,
"noiseScale" : float,
"noiseScaleW" : float,
"lengthScale" : float,
});
const SherpaOnnxOfflineTtsModelConfig = StructType({
"vits" : SherpaOnnxOfflineTtsVitsModelConfig,
"numThreads" : int32_t,
"debug" : int32_t,
"provider" : cstring,
});
const SherpaOnnxOfflineTtsConfig = StructType({
"model" : SherpaOnnxOfflineTtsModelConfig,
"ruleFsts" : cstring,
"maxNumSentences" : int32_t,
});
const SherpaOnnxGeneratedAudio = StructType({
"samples" : FloatArray,
"n" : int32_t,
"sampleRate" : int32_t,
});
const SherpaOnnxOfflineTtsVitsModelConfigPtr =
ref.refType(SherpaOnnxOfflineTtsVitsModelConfig);
const SherpaOnnxOfflineTtsConfigPtr = ref.refType(SherpaOnnxOfflineTtsConfig);
const SherpaOnnxGeneratedAudioPtr = ref.refType(SherpaOnnxGeneratedAudio);
const SherpaOnnxOfflineTtsPtr = ref.refType(ref.types.void);
const SherpaOnnxDisplayPtr = ref.refType(ref.types.void);
let soname;
if (os.platform() == "win32") {
// see https://nodejs.org/api/process.html#processarch
if (process.arch == "x64") {
let currentPath = process.env.Path;
let dllDirectory = path.resolve(path.join(__dirname, "lib", "win-x64"));
process.env.Path = currentPath + path.delimiter + dllDirectory;
soname = path.join(__dirname, "lib", "win-x64", "sherpa-onnx-c-api.dll")
} else if (process.arch == "ia32") {
let currentPath = process.env.Path;
let dllDirectory = path.resolve(path.join(__dirname, "lib", "win-x86"));
process.env.Path = currentPath + path.delimiter + dllDirectory;
soname = path.join(__dirname, "lib", "win-x86", "sherpa-onnx-c-api.dll")
} else {
throw new Error(
`Support only Windows x86 and x64 for now. Given ${process.arch}`);
}
} else if (os.platform() == "darwin") {
if (process.arch == "x64") {
soname =
path.join(__dirname, "lib", "osx-x64", "libsherpa-onnx-c-api.dylib");
} else if (process.arch == "arm64") {
soname =
path.join(__dirname, "lib", "osx-arm64", "libsherpa-onnx-c-api.dylib");
} else {
throw new Error(
`Support only macOS x64 and arm64 for now. Given ${process.arch}`);
}
} else if (os.platform() == "linux") {
if (process.arch == "x64") {
soname =
path.join(__dirname, "lib", "linux-x64", "libsherpa-onnx-c-api.so");
} else {
throw new Error(`Support only Linux x64 for now. Given ${process.arch}`);
}
} else {
throw new Error(`Unsupported platform ${os.platform()}`);
}
if (!fs.existsSync(soname)) {
throw new Error(`Cannot find file ${soname}. Please make sure you have run
./build.sh`);
}
debug("soname ", soname)
const libsherpa_onnx = ffi.Library(soname, {
// online asr
"CreateOnlineRecognizer" : [
SherpaOnnxOnlineRecognizerPtr, [ SherpaOnnxOnlineRecognizerConfigPtr ]
],
"DestroyOnlineRecognizer" : [ "void", [ SherpaOnnxOnlineRecognizerPtr ] ],
"CreateOnlineStream" :
[ SherpaOnnxOnlineStreamPtr, [ SherpaOnnxOnlineRecognizerPtr ] ],
"CreateOnlineStreamWithHotwords" :
[ SherpaOnnxOnlineStreamPtr, [ SherpaOnnxOnlineRecognizerPtr, cstring ] ],
"DestroyOnlineStream" : [ "void", [ SherpaOnnxOnlineStreamPtr ] ],
"AcceptWaveform" :
[ "void", [ SherpaOnnxOnlineStreamPtr, int32_t, floatPtr, int32_t ] ],
"IsOnlineStreamReady" :
[ int32_t, [ SherpaOnnxOnlineRecognizerPtr, SherpaOnnxOnlineStreamPtr ] ],
"DecodeOnlineStream" :
[ "void", [ SherpaOnnxOnlineRecognizerPtr, SherpaOnnxOnlineStreamPtr ] ],
"DecodeMultipleOnlineStreams" : [
"void",
[ SherpaOnnxOnlineRecognizerPtr, SherpaOnnxOnlineStreamPtrPtr, int32_t ]
],
"GetOnlineStreamResult" : [
SherpaOnnxOnlineRecognizerResultPtr,
[ SherpaOnnxOnlineRecognizerPtr, SherpaOnnxOnlineStreamPtr ]
],
"DestroyOnlineRecognizerResult" :
[ "void", [ SherpaOnnxOnlineRecognizerResultPtr ] ],
"Reset" :
[ "void", [ SherpaOnnxOnlineRecognizerPtr, SherpaOnnxOnlineStreamPtr ] ],
"InputFinished" : [ "void", [ SherpaOnnxOnlineStreamPtr ] ],
"IsEndpoint" :
[ int32_t, [ SherpaOnnxOnlineRecognizerPtr, SherpaOnnxOnlineStreamPtr ] ],
// offline asr
"CreateOfflineRecognizer" : [
SherpaOnnxOfflineRecognizerPtr, [ SherpaOnnxOfflineRecognizerConfigPtr ]
],
"DestroyOfflineRecognizer" : [ "void", [ SherpaOnnxOfflineRecognizerPtr ] ],
"CreateOfflineStream" :
[ SherpaOnnxOfflineStreamPtr, [ SherpaOnnxOfflineRecognizerPtr ] ],
"DestroyOfflineStream" : [ "void", [ SherpaOnnxOfflineStreamPtr ] ],
"AcceptWaveformOffline" :
[ "void", [ SherpaOnnxOfflineStreamPtr, int32_t, floatPtr, int32_t ] ],
"DecodeOfflineStream" : [
"void", [ SherpaOnnxOfflineRecognizerPtr, SherpaOnnxOfflineStreamPtr ]
],
"DecodeMultipleOfflineStreams" : [
"void",
[ SherpaOnnxOfflineRecognizerPtr, SherpaOnnxOfflineStreamPtrPtr, int32_t ]
],
"GetOfflineStreamResult" :
[ SherpaOnnxOfflineRecognizerResultPtr, [ SherpaOnnxOfflineStreamPtr ] ],
"DestroyOfflineRecognizerResult" :
[ "void", [ SherpaOnnxOfflineRecognizerResultPtr ] ],
// vad
"SherpaOnnxCreateCircularBuffer" :
[ SherpaOnnxCircularBufferPtr, [ int32_t ] ],
"SherpaOnnxDestroyCircularBuffer" :
[ "void", [ SherpaOnnxCircularBufferPtr ] ],
"SherpaOnnxCircularBufferPush" :
[ "void", [ SherpaOnnxCircularBufferPtr, floatPtr, int32_t ] ],
"SherpaOnnxCircularBufferGet" :
[ FloatArray, [ SherpaOnnxCircularBufferPtr, int32_t, int32_t ] ],
"SherpaOnnxCircularBufferFree" : [ "void", [ FloatArray ] ],
"SherpaOnnxCircularBufferPop" :
[ "void", [ SherpaOnnxCircularBufferPtr, int32_t ] ],
"SherpaOnnxCircularBufferSize" : [ int32_t, [ SherpaOnnxCircularBufferPtr ] ],
"SherpaOnnxCircularBufferHead" : [ int32_t, [ SherpaOnnxCircularBufferPtr ] ],
"SherpaOnnxCircularBufferReset" : [ "void", [ SherpaOnnxCircularBufferPtr ] ],
"SherpaOnnxCreateVoiceActivityDetector" : [
SherpaOnnxVoiceActivityDetectorPtr, [ SherpaOnnxVadModelConfigPtr, float ]
],
"SherpaOnnxDestroyVoiceActivityDetector" :
[ "void", [ SherpaOnnxVoiceActivityDetectorPtr ] ],
"SherpaOnnxVoiceActivityDetectorAcceptWaveform" :
[ "void", [ SherpaOnnxVoiceActivityDetectorPtr, floatPtr, int32_t ] ],
"SherpaOnnxVoiceActivityDetectorEmpty" :
[ int32_t, [ SherpaOnnxVoiceActivityDetectorPtr ] ],
"SherpaOnnxVoiceActivityDetectorDetected" :
[ int32_t, [ SherpaOnnxVoiceActivityDetectorPtr ] ],
"SherpaOnnxVoiceActivityDetectorPop" :
[ "void", [ SherpaOnnxVoiceActivityDetectorPtr ] ],
"SherpaOnnxVoiceActivityDetectorClear" :
[ "void", [ SherpaOnnxVoiceActivityDetectorPtr ] ],
"SherpaOnnxVoiceActivityDetectorFront" :
[ SherpaOnnxSpeechSegmentPtr, [ SherpaOnnxVoiceActivityDetectorPtr ] ],
"SherpaOnnxDestroySpeechSegment" : [ "void", [ SherpaOnnxSpeechSegmentPtr ] ],
"SherpaOnnxVoiceActivityDetectorReset" :
[ "void", [ SherpaOnnxVoiceActivityDetectorPtr ] ],
// tts
"SherpaOnnxCreateOfflineTts" :
[ SherpaOnnxOfflineTtsPtr, [ SherpaOnnxOfflineTtsConfigPtr ] ],
"SherpaOnnxDestroyOfflineTts" : [ "void", [ SherpaOnnxOfflineTtsPtr ] ],
"SherpaOnnxOfflineTtsGenerate" : [
SherpaOnnxGeneratedAudioPtr,
[ SherpaOnnxOfflineTtsPtr, cstring, int32_t, float ]
],
"SherpaOnnxDestroyOfflineTtsGeneratedAudio" :
[ "void", [ SherpaOnnxGeneratedAudioPtr ] ],
"SherpaOnnxWriteWave" : [ "void", [ floatPtr, int32_t, int32_t, cstring ] ],
// display
"CreateDisplay" : [ SherpaOnnxDisplayPtr, [ int32_t ] ],
"DestroyDisplay" : [ "void", [ SherpaOnnxDisplayPtr ] ],
"SherpaOnnxPrint" : [ "void", [ SherpaOnnxDisplayPtr, int32_t, cstring ] ],
});
class Display {
constructor(maxWordPerLine) {
this.handle = libsherpa_onnx.CreateDisplay(maxWordPerLine);
}
free() {
if (this.handle) {
libsherpa_onnx.DestroyDisplay(this.handle);
this.handle = null;
}
}
print(idx, s) { libsherpa_onnx.SherpaOnnxPrint(this.handle, idx, s); }
};
class OnlineResult {
constructor(text) { this.text = Buffer.from(text, "utf-8").toString(); }
};
class OnlineStream {
constructor(handle) { this.handle = handle }
free() {
if (this.handle) {
libsherpa_onnx.DestroyOnlineStream(this.handle);
this.handle = null;
}
}
/**
* @param sampleRate {Number}
* @param samples {Float32Array} Containing samples in the range [-1, 1]
*/
acceptWaveform(sampleRate, samples) {
libsherpa_onnx.AcceptWaveform(this.handle, sampleRate, samples,
samples.length);
}
};
class OnlineRecognizer {
constructor(config) {
this.config = config;
this.recognizer_handle =
libsherpa_onnx.CreateOnlineRecognizer(config.ref());
}
free() {
if (this.recognizer_handle) {
libsherpa_onnx.DestroyOnlineRecognizer(this.recognizer_handle);
this.recognizer_handle = null;
}
}
createStream() {
let handle = libsherpa_onnx.CreateOnlineStream(this.recognizer_handle);
return new OnlineStream(handle);
}
isReady(stream) {
return libsherpa_onnx.IsOnlineStreamReady(this.recognizer_handle,
stream.handle)
}
isEndpoint(stream) {
return libsherpa_onnx.IsEndpoint(this.recognizer_handle, stream.handle);
}
reset(stream) { libsherpa_onnx.Reset(this.recognizer_handle, stream.handle); }
decode(stream) {
libsherpa_onnx.DecodeOnlineStream(this.recognizer_handle, stream.handle)
}
getResult(stream) {
let handle = libsherpa_onnx.GetOnlineStreamResult(this.recognizer_handle,
stream.handle);
let r = handle.deref();
let ans = new OnlineResult(r.text);
libsherpa_onnx.DestroyOnlineRecognizerResult(handle);
return ans
}
};
class OfflineResult {
constructor(text) { this.text = Buffer.from(text, "utf-8").toString(); }
};
class OfflineStream {
constructor(handle) { this.handle = handle }
free() {
if (this.handle) {
libsherpa_onnx.DestroyOfflineStream(this.handle);
this.handle = null;
}
}
/**
* @param sampleRate {Number}
* @param samples {Float32Array} Containing samples in the range [-1, 1]
*/
acceptWaveform(sampleRate, samples) {
libsherpa_onnx.AcceptWaveformOffline(this.handle, sampleRate, samples,
samples.length);
}
};
class OfflineRecognizer {
constructor(config) {
this.config = config;
this.recognizer_handle =
libsherpa_onnx.CreateOfflineRecognizer(config.ref());
}
free() {
if (this.recognizer_handle) {
libsherpa_onnx.DestroyOfflineRecognizer(this.recognizer_handle);
this.recognizer_handle = null;
}
}
createStream() {
let handle = libsherpa_onnx.CreateOfflineStream(this.recognizer_handle);
return new OfflineStream(handle);
}
decode(stream) {
libsherpa_onnx.DecodeOfflineStream(this.recognizer_handle, stream.handle)
}
getResult(stream) {
let handle = libsherpa_onnx.GetOfflineStreamResult(stream.handle);
let r = handle.deref();
let ans = new OfflineResult(r.text);
libsherpa_onnx.DestroyOfflineRecognizerResult(handle);
return ans
}
};
class SpeechSegment {
constructor(start, samples) {
this.start = start;
this.samples = samples;
}
};
// this buffer holds only float entries.
class CircularBuffer {
/**
* @param capacity {int} The capacity of the circular buffer.
*/
constructor(capacity) {
this.handle = libsherpa_onnx.SherpaOnnxCreateCircularBuffer(capacity);
}
free() {
if (this.handle) {
libsherpa_onnx.SherpaOnnxDestroyCircularBuffer(this.handle);
this.handle = null;
}
}
/**
* @param samples {Float32Array}
*/
push(samples) {
libsherpa_onnx.SherpaOnnxCircularBufferPush(this.handle, samples,
samples.length);
}
get(startIndex, n) {
let data =
libsherpa_onnx.SherpaOnnxCircularBufferGet(this.handle, startIndex, n);
// https://tootallnate.github.io/ref/#exports-reinterpret
const buffer = data.buffer.reinterpret(n * ref.sizeof.float).buffer;
// create a copy since we are going to free the buffer at the end
let s = new Float32Array(buffer).slice(0);
libsherpa_onnx.SherpaOnnxCircularBufferFree(data);
return s;
}
pop(n) { libsherpa_onnx.SherpaOnnxCircularBufferPop(this.handle, n); }
size() { return libsherpa_onnx.SherpaOnnxCircularBufferSize(this.handle); }
head() { return libsherpa_onnx.SherpaOnnxCircularBufferHead(this.handle); }
reset() { libsherpa_onnx.SherpaOnnxCircularBufferReset(this.handle); }
};
class VoiceActivityDetector {
constructor(config, bufferSizeInSeconds) {
this.config = config;
this.handle = libsherpa_onnx.SherpaOnnxCreateVoiceActivityDetector(
config.ref(), bufferSizeInSeconds);
}
free() {
if (this.handle) {
libsherpa_onnx.SherpaOnnxDestroyVoiceActivityDetector(this.handle);
}
}
acceptWaveform(samples) {
libsherpa_onnx.SherpaOnnxVoiceActivityDetectorAcceptWaveform(
this.handle, samples, samples.length);
}
isEmpty() {
return libsherpa_onnx.SherpaOnnxVoiceActivityDetectorEmpty(this.handle);
}
isDetected() {
return libsherpa_onnx.SherpaOnnxVoiceActivityDetectorDetected(this.handle);
}
pop() { libsherpa_onnx.SherpaOnnxVoiceActivityDetectorPop(this.handle); }
clear() { libsherpa_onnx.SherpaOnnxVoiceActivityDetectorClear(this.handle); }
reset() { libsherpa_onnx.SherpaOnnxVoiceActivityDetectorReset(this.handle); }
front() {
let segment =
libsherpa_onnx.SherpaOnnxVoiceActivityDetectorFront(this.handle);
let buffer =
segment.deref()
.samples.buffer.reinterpret(segment.deref().n * ref.sizeof.float)
.buffer;
let samples = new Float32Array(buffer).slice(0);
let ans = new SpeechSegment(segment.deref().start, samples);
libsherpa_onnx.SherpaOnnxDestroySpeechSegment(segment);
return ans;
}
};
class GeneratedAudio {
constructor(sampleRate, samples) {
this.sampleRate = sampleRate;
this.samples = samples;
}
save(filename) {
libsherpa_onnx.SherpaOnnxWriteWave(this.samples, this.samples.length,
this.sampleRate, filename);
}
};
class OfflineTts {
constructor(config) {
this.config = config;
this.handle = libsherpa_onnx.SherpaOnnxCreateOfflineTts(config.ref());
}
free() {
if (this.handle) {
libsherpa_onnx.SherpaOnnxDestroyOfflineTts(this.handle);
this.handle = null;
}
}
generate(text, sid, speed) {
let r = libsherpa_onnx.SherpaOnnxOfflineTtsGenerate(this.handle, text, sid,
speed);
const buffer =
r.deref()
.samples.buffer.reinterpret(r.deref().n * ref.sizeof.float)
.buffer;
let samples = new Float32Array(buffer).slice(0);
let sampleRate = r.deref().sampleRate;
let generatedAudio = new GeneratedAudio(sampleRate, samples);
libsherpa_onnx.SherpaOnnxDestroyOfflineTtsGeneratedAudio(r);
return generatedAudio;
}
};
// online asr
const OnlineTransducerModelConfig = SherpaOnnxOnlineTransducerModelConfig;
const OnlineModelConfig = SherpaOnnxOnlineModelConfig;
const FeatureConfig = SherpaOnnxFeatureConfig;
const OnlineRecognizerConfig = SherpaOnnxOnlineRecognizerConfig;
const OnlineParaformerModelConfig = SherpaOnnxOnlineParaformerModelConfig;
const OnlineZipformer2CtcModelConfig = SherpaOnnxOnlineZipformer2CtcModelConfig;
// offline asr
const OfflineTransducerModelConfig = SherpaOnnxOfflineTransducerModelConfig;
const OfflineModelConfig = SherpaOnnxOfflineModelConfig;
const OfflineRecognizerConfig = SherpaOnnxOfflineRecognizerConfig;
const OfflineParaformerModelConfig = SherpaOnnxOfflineParaformerModelConfig;
const OfflineWhisperModelConfig = SherpaOnnxOfflineWhisperModelConfig;
const OfflineNemoEncDecCtcModelConfig =
SherpaOnnxOfflineNemoEncDecCtcModelConfig;
const OfflineTdnnModelConfig = SherpaOnnxOfflineTdnnModelConfig;
// vad
const SileroVadModelConfig = SherpaOnnxSileroVadModelConfig;
const VadModelConfig = SherpaOnnxVadModelConfig;
// tts
const OfflineTtsVitsModelConfig = SherpaOnnxOfflineTtsVitsModelConfig;
const OfflineTtsModelConfig = SherpaOnnxOfflineTtsModelConfig;
const OfflineTtsConfig = SherpaOnnxOfflineTtsConfig;
module.exports = {
// online asr
OnlineTransducerModelConfig,
OnlineModelConfig,
FeatureConfig,
OnlineRecognizerConfig,
OnlineRecognizer,
OnlineStream,
OnlineParaformerModelConfig,
OnlineZipformer2CtcModelConfig,
// offline asr
OfflineRecognizer,
OfflineStream,
OfflineTransducerModelConfig,
OfflineModelConfig,
OfflineRecognizerConfig,
OfflineParaformerModelConfig,
OfflineWhisperModelConfig,
OfflineNemoEncDecCtcModelConfig,
OfflineTdnnModelConfig,
// vad
SileroVadModelConfig,
VadModelConfig,
CircularBuffer,
VoiceActivityDetector,
// tts
OfflineTtsVitsModelConfig,
OfflineTtsModelConfig,
OfflineTtsConfig,
OfflineTts,
//
Display,
};