diff --git a/.gitignore b/.gitignore index 9b7a3e0..fcda502 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,7 @@ # Logs logs *.log +.editorconfig npm-debug.log* # Runtime data @@ -42,3 +43,5 @@ jspm_packages # Keyfile keyfile.json /.idea/ +/snowboy/lib/node/index.js +/components/lib/node/binding/Release/node-v127-linux-x64/snowboy.node diff --git a/README.md b/README.md index f5adeff..aea09b4 100644 --- a/README.md +++ b/README.md @@ -95,8 +95,9 @@ hotword. Hotword training must occur online through their web service. ## Built [#withsonus](https://twitter.com/hashtag/withsonus?src=github) - [L.I.S.A. - Home automation project](https://github.com/mylisabox/lisa-box) +- [ioBroker - Home automation project](https://github.com/ioBroker/ioBroker.sonus) -*If you've build a project with Sonus send a PR and include it here!* +*If you've build a project with Sonus [send a PR](https://github.com/evancohen/sonus/edit/master/README.md) and include it here!* ## Authors Evan Cohen: [@_evnc](https://twitter.com/_evnc) diff --git a/binding.gyp b/binding.gyp new file mode 100644 index 0000000..68337d3 --- /dev/null +++ b/binding.gyp @@ -0,0 +1,85 @@ +{ + 'targets': [{ + 'target_name': 'snowboy', + 'sources': [ + 'snowboy/lib/snowboy.cc' + ], + 'conditions': [ + ['OS=="mac"', { + 'link_settings': { + 'libraries': [ + '<(module_root_dir)/snowboy/lib/osx/libsnowboy-detect.a', + ] + } + }], + ['OS=="linux" and target_arch=="x64"', { + 'link_settings': { + 'ldflags': [ + '-Wl,--no-as-needed', + ], + 'libraries': [ + '<(module_root_dir)/snowboy/lib/x64/libsnowboy-detect.a', + ] + } + }], + ['OS=="linux" and target_arch=="arm"', { + 'link_settings': { + 'ldflags': [ + '-Wl,--no-as-needed', + ], + 'libraries': [ + '<(module_root_dir)/snowboy/lib/rpi/libsnowboy-detect.a', + ] + } + }], + ['OS=="linux" and target_arch=="arm64"', { + 'link_settings': { + 'ldflags': [ + '-Wl,--no-as-needed', + ], + 'libraries': [ + '<(module_root_dir)/snowboy/lib/arm64/libsnowboy-detect.a', + ] + } + }] + ], + 'cflags': [ + '-std=c++11', + '-fexceptions', + '-Wall', + '-D_GLIBCXX_USE_CXX11_ABI=0' + ], + 'cflags!': [ + '-fno-exceptions' + ], + 'cflags_cc!': [ + '-fno-exceptions' + ], + 'include_dirs': [ + " { const csr = new stream.Writable() csr.listening = false @@ -76,54 +81,52 @@ CloudSpeechRecognizer.startStreaming = (options, audioStream, cloudSpeechRecogni } const Sonus = {} -Sonus.annyang = require('./lib/annyang-core.js') Sonus.init = (options, recognizer) => { // don't mutate options const opts = Object.assign({}, options), - models = new Models(), sonus = new stream.Writable(), csr = CloudSpeechRecognizer.init(recognizer) sonus.mic = {} sonus.recordProgram = opts.recordProgram sonus.device = opts.device sonus.started = false - - // If we don't have any hotwords passed in, add the default global model - opts.hotwords = opts.hotwords || [1] - opts.hotwords.forEach(model => { - models.add({ - file: model.file || 'node_modules/snowboy/resources/snowboy.umdl', - sensitivity: model.sensitivity || '0.5', - hotwords: model.hotword || 'default' + sonus.opts = opts + sonus.csr = csr + + // if not doing hotword detection + if(opts.hotwords!=-1){ + const { Detector, Models } = require('./snowboy/lib/node/index.js') + Sonus.annyang = require('./lib/annyang-core.js') + const models = new Models() + // If we don't have any hotwords passed in, add the default global model + opts.hotwords = opts.hotwords || [1] + opts.hotwords.forEach(model => { + models.add({ + file: model.file || 'node_modules/sonus/resources/snowboy.umdl', + sensitivity: model.sensitivity || '0.5', + hotwords: model.hotword || 'default' + }) }) - }) - // defaults - opts.models = models - opts.resource = opts.resource || 'node_modules/snowboy/resources/common.res' - opts.audioGain = opts.audioGain || 2.0 - opts.language = opts.language || 'en-US' //https://cloud.google.com/speech/docs/languages + // defaults + opts.models = models + opts.resource = opts.resource || 'node_modules/sonus/resources/common.res' + opts.audioGain = opts.audioGain || 2.0 + opts.language = opts.language || 'en-US' //https://cloud.google.com/speech/docs/languages - const detector = sonus.detector = new Detector(opts) + const detector = sonus.detector = new Detector(opts) - detector.on('silence', () => sonus.emit('silence')) - detector.on('sound', () => sonus.emit('sound')) + detector.on('silence', () => sonus.emit('silence')) + detector.on('sound', () => sonus.emit('sound')) + detector.on('error', () => {}) - // When a hotword is detected pipe the audio stream to speech detection - detector.on('hotword', (index, hotword) => { - sonus.trigger(index, hotword) - }) - - // Handel speech recognition requests - csr.on('error', error => sonus.emit('error', { streamingError: error })) - csr.on('partial-result', transcript => sonus.emit('partial-result', transcript)) - csr.on('final-result', transcript => { - sonus.emit('final-result', transcript) - Sonus.annyang.trigger(transcript) - }) + // When a hotword is detected pipe the audio stream to speech detection + detector.on('hotword', (index, hotword) => { + sonus.trigger(index, hotword) + }) - sonus.trigger = (index, hotword) => { + sonus.trigger = (index, hotword) => { if (sonus.started) { try { let triggerHotword = (index == 0) ? hotword : models.lookup(index) @@ -136,6 +139,17 @@ Sonus.init = (options, recognizer) => { throw ERROR.NOT_STARTED } } +} + + // Handel speech recognition requests + csr.on('error', error => sonus.emit('error', { streamingError: error })) + csr.on('partial-result', transcript => sonus.emit('partial-result', transcript)) + csr.on('final-result', transcript => { + sonus.emit('final-result', transcript) + if(sonus.opts.hotwords!==-1) + Sonus.annyang.trigger(transcript) + }) + sonus.pause = () => { record.pause() @@ -154,8 +168,10 @@ Sonus.start = sonus => { if(sonus.recordProgram === "arecord"){ ArecordHelper.init(sonus) } - - sonus.mic.pipe(sonus.detector) + if(sonus.opts.hotwords !== -1) + sonus.mic.pipe(sonus.detector) + else + CloudSpeechRecognizer.startStreaming(sonus.opts, sonus.mic, sonus.csr) sonus.started = true } @@ -174,25 +190,37 @@ ArecordHelper.init = (sonus) => { } ArecordHelper.track = (sonus) => { + sonus.mic.on('data', data => { + ArecordHelper.byteCount += data.length // When we get to arecord wav file limit, reset if(ArecordHelper.byteCount > ARECORD_FILE_LIMIT){ - ArecordHelper.restart(sonus) + if(!restarting){ + restarting=true; + ArecordHelper.restart(sonus) + } } }) } ArecordHelper.restart = (sonus) => { - sonus.mic.unpipe(sonus.detector) - record.stop() - - // Restart the audio recording - sonus.mic = Recorder(sonus) + // reset the counter before we get another buffer of data over the limit ArecordHelper.byteCount = 0 - ArecordHelper.track(sonus) - sonus.mic.pipe(sonus.detector) + if(sonus.opts.hotwords!==-1) + sonus.mic.unpipe(sonus.detector) + record.stop() + // wait a little, let existing process exit + // make sure the pcm recorder actually has stopped + waitRunning(sonus.recordProgram,false,8*1000).then(()=>{ + // Restart the audio recording + sonus.mic = Recorder(sonus) + ArecordHelper.track(sonus) + if(sonus.opts.hotwords!==-1) + sonus.mic.pipe(sonus.detector) + restarting=false + }) } Sonus.trigger = (sonus, index, hotword) => sonus.trigger(index, hotword) @@ -201,6 +229,10 @@ Sonus.pause = () => record.pause() Sonus.resume = () => record.resume() -Sonus.stop = () => record.stop() +Sonus.stop = (sonus) => { + if(sonus.detector) + sonus.mic.unpipe(sonus.detector) + record.stop() +} module.exports = Sonus diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..fb80ff8 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,3441 @@ +{ + "name": "sonus", + "version": "1.0.4", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "sonus", + "version": "1.0.4", + "hasInstallScript": true, + "license": "MIT", + "dependencies": { + "@google-cloud/speech": "^4.2.0", + "@mapbox/node-pre-gyp": "^1.0.11", + "@types/node": "^20.14.9", + "nan": "^2.20.0", + "node-record-lpcm16": "^0.3.1", + "typescript": "^5.5.2", + "waitprocess": "git+https://git@github.com/sdetweil/waitprocess.git" + }, + "devDependencies": { + "eslint": "^3.7.0" + } + }, + "node_modules/@google-cloud/common": { + "version": "3.10.0", + "resolved": "https://registry.npmjs.org/@google-cloud/common/-/common-3.10.0.tgz", + "integrity": 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"version": "1.0.4", "description": "Open source cross platform decentralized always-on speech recognition framework", "main": "index.js", "scripts": { - "test": "eslint ." + "test": "eslint .", + "preinstall": "./preinstall", + "postinstall": "./postinstall" + }, + "typings": "snowboy/lib/node/index.d.ts", + "binary": { + "module_name": "snowboy", + "module_path": "./snowboy/lib/node/binding/{configuration}/{node_abi}-{platform}-{arch}/", + "remote_path": "./{module_name}/v{version}/{configuration}/", + "package_name": "{module_name}-v{version}-{node_abi}-{platform}-{arch}.tar.gz", + "host": "https://github.com/bugsounet/snowboy" }, "repository": { "type": "git", @@ -26,9 +36,13 @@ }, "homepage": "https://github.com/evancohen/sonus#readme", "dependencies": { - "@google-cloud/speech": "^2.1.2", + "@google-cloud/speech": "^4.2.0", "node-record-lpcm16": "^0.3.1", - "snowboy": "^1.2.0" + "waitprocess": "git+https://git@github.com/sdetweil/waitprocess.git", + "@mapbox/node-pre-gyp": "^1.0.11", + "@types/node": "^20.14.9", + "nan": "^2.20.0", + "typescript": "^5.5.2" }, "devDependencies": { "eslint": "^3.7.0" diff --git a/postinstall b/postinstall new file mode 100755 index 0000000..71cf9ce --- /dev/null +++ b/postinstall @@ -0,0 +1,3 @@ +#!/bin/bash +node-pre-gyp install --fallback-to-build +tsc -p ./tsconfig.json \ No newline at end of file diff --git a/preinstall b/preinstall new file mode 100755 index 0000000..f2e63fb --- /dev/null +++ b/preinstall @@ -0,0 +1,7 @@ +#!/bin/bash +#sudo apt-get install -y libatlas-base-dev +sudo apt-get install -y libmagic-dev libatlas-base-dev sox libsox-fmt-all build-essential +py_present=$(which python3) +if [ "$py_present." == "." ]; then + sudo apt-get install python3 +fi diff --git a/snowboy/common.res b/snowboy/common.res new file mode 100644 index 0000000..fe6fa95 Binary files /dev/null and b/snowboy/common.res differ diff --git a/snowboy/include/snowboy-detect.h b/snowboy/include/snowboy-detect.h new file mode 100644 index 0000000..95e06c5 --- /dev/null +++ b/snowboy/include/snowboy-detect.h @@ -0,0 +1,226 @@ +// include/snowboy-detect.h + +// Copyright 2016 KITT.AI (author: Guoguo Chen) + +#ifndef SNOWBOY_INCLUDE_SNOWBOY_DETECT_H_ +#define SNOWBOY_INCLUDE_SNOWBOY_DETECT_H_ + +#include +#include + +namespace snowboy { + +// Forward declaration. +struct WaveHeader; +class PipelineDetect; +class PipelineVad; + +//////////////////////////////////////////////////////////////////////////////// +// +// SnowboyDetect class interface. +// +//////////////////////////////////////////////////////////////////////////////// +class SnowboyDetect { + public: + // Constructor that takes a resource file, and a list of hotword models which + // are separated by comma. In the case that more than one hotword exist in the + // provided models, RunDetection() will return the index of the hotword, if + // the corresponding hotword is triggered. + // + // CAVEAT: a personal model only contain one hotword, but an universal model + // may contain multiple hotwords. It is your responsibility to figure + // out the index of the hotword. For example, if your model string is + // "foo.pmdl,bar.umdl", where foo.pmdl contains hotword x, bar.umdl + // has two hotwords y and z, the indices of different hotwords are as + // follows: + // x 1 + // y 2 + // z 3 + // + // @param [in] resource_filename Filename of resource file. + // @param [in] model_str A string of multiple hotword models, + // separated by comma. + SnowboyDetect(const std::string& resource_filename, + const std::string& model_str); + + // Resets the detection. This class handles voice activity detection (VAD) + // internally. But if you have an external VAD, you should call Reset() + // whenever you see segment end from your VAD. + bool Reset(); + + // Runs hotword detection. Supported audio format is WAVE (with linear PCM, + // 8-bits unsigned integer, 16-bits signed integer or 32-bits signed integer). + // See SampleRate(), NumChannels() and BitsPerSample() for the required + // sampling rate, number of channels and bits per sample values. You are + // supposed to provide a small chunk of data (e.g., 0.1 second) each time you + // call RunDetection(). Larger chunk usually leads to longer delay, but less + // CPU usage. + // + // Definition of return values: + // -2: Silence. + // -1: Error. + // 0: No event. + // 1: Hotword 1 triggered. + // 2: Hotword 2 triggered. + // ... + // + // @param [in] data Small chunk of data to be detected. See + // above for the supported data format. + // @param [in] is_end Set it to true if it is the end of a + // utterance or file. + int RunDetection(const std::string& data, bool is_end = false); + + // Various versions of RunDetection() that take different format of audio. If + // NumChannels() > 1, e.g., NumChannels() == 2, then the array is as follows: + // + // d1c1, d1c2, d2c1, d2c2, d3c1, d3c2, ..., dNc1, dNc2 + // + // where d1c1 means data point 1 of channel 1. + // + // @param [in] data Small chunk of data to be detected. See + // above for the supported data format. + // @param [in] array_length Length of the data array. + // @param [in] is_end Set it to true if it is the end of a + // utterance or file. + int RunDetection(const float* const data, + const int array_length, bool is_end = false); + int RunDetection(const int16_t* const data, + const int array_length, bool is_end = false); + int RunDetection(const int32_t* const data, + const int array_length, bool is_end = false); + + // Sets the sensitivity string for the loaded hotwords. A is + // a list of floating numbers between 0 and 1, and separated by comma. For + // example, if there are 3 loaded hotwords, your string should looks something + // like this: + // 0.4,0.5,0.8 + // Make sure you properly align the sensitivity value to the corresponding + // hotword. + void SetSensitivity(const std::string& sensitivity_str); + + // Similar to the sensitivity setting above. When set higher than the above + // sensitivity, the algorithm automatically chooses between the normal + // sensitivity set above and the higher sensitivity set here, to maximize the + // performance. By default, it is not set, which means the algorithm will + // stick with the sensitivity set above. + void SetHighSensitivity(const std::string& high_sensitivity_str); + + // Returns the sensitivity string for the current hotwords. + std::string GetSensitivity() const; + + // Applied a fixed gain to the input audio. In case you have a very weak + // microphone, you can use this function to boost input audio level. + void SetAudioGain(const float audio_gain); + + // Writes the models to the model filenames specified in in the + // constructor. This overwrites the original model with the latest parameter + // setting. You are supposed to call this function if you have updated the + // hotword sensitivities through SetSensitivity(), and you would like to store + // those values in the model as the default value. + void UpdateModel() const; + + // Returns the number of the loaded hotwords. This helps you to figure the + // index of the hotwords. + int NumHotwords() const; + + // If is true, then apply frontend audio processing; + // otherwise turns the audio processing off. Frontend audio processing + // includes algorithms such as automatic gain control (AGC), noise suppression + // (NS) and so on. Generally adding frontend audio processing helps the + // performance, but if the model is not trained with frontend audio + // processing, it may decrease the performance. The general rule of thumb is: + // 1. For personal models, set it to false. + // 2. For universal models, follow the instruction of each published model + void ApplyFrontend(const bool apply_frontend); + + // Returns the required sampling rate, number of channels and bits per sample + // values for the audio data. You should use this information to set up your + // audio capturing interface. + int SampleRate() const; + int NumChannels() const; + int BitsPerSample() const; + + ~SnowboyDetect(); + + private: + std::unique_ptr wave_header_; + std::unique_ptr detect_pipeline_; +}; + +//////////////////////////////////////////////////////////////////////////////// +// +// SnowboyVad class interface. +// +//////////////////////////////////////////////////////////////////////////////// +class SnowboyVad { + public: + // Constructor that takes a resource file. It shares the same resource file + // with SnowboyDetect. + SnowboyVad(const std::string& resource_filename); + + // Resets the VAD. + bool Reset(); + + // Runs the VAD algorithm. Supported audio format is WAVE (with linear PCM, + // 8-bits unsigned integer, 16-bits signed integer or 32-bits signed integer). + // See SampleRate(), NumChannels() and BitsPerSample() for the required + // sampling rate, number of channels and bits per sample values. You are + // supposed to provide a small chunk of data (e.g., 0.1 second) each time you + // call RunDetection(). Larger chunk usually leads to longer delay, but less + // CPU usage. + // + // Definition of return values: + // -2: Silence. + // -1: Error. + // 0: Non-silence. + // + // @param [in] data Small chunk of data to be detected. See + // above for the supported data format. + // @param [in] is_end Set it to true if it is the end of a + // utterance or file. + int RunVad(const std::string& data, bool is_end = false); + + // Various versions of RunVad() that take different format of audio. If + // NumChannels() > 1, e.g., NumChannels() == 2, then the array is as follows: + // + // d1c1, d1c2, d2c1, d2c2, d3c1, d3c2, ..., dNc1, dNc2 + // + // where d1c1 means data point 1 of channel 1. + // + // @param [in] data Small chunk of data to be detected. See + // above for the supported data format. + // @param [in] array_length Length of the data array. + // @param [in] is_end Set it to true if it is the end of a + // utterance or file. + int RunVad(const float* const data, + const int array_length, bool is_end = false); + int RunVad(const int16_t* const data, + const int array_length, bool is_end = false); + int RunVad(const int32_t* const data, + const int array_length, bool is_end = false); + + // Applied a fixed gain to the input audio. In case you have a very weak + // microphone, you can use this function to boost input audio level. + void SetAudioGain(const float audio_gain); + + // If is true, then apply frontend audio processing; + // otherwise turns the audio processing off. + void ApplyFrontend(const bool apply_frontend); + + // Returns the required sampling rate, number of channels and bits per sample + // values for the audio data. You should use this information to set up your + // audio capturing interface. + int SampleRate() const; + int NumChannels() const; + int BitsPerSample() const; + + ~SnowboyVad(); + + private: + std::unique_ptr wave_header_; + std::unique_ptr vad_pipeline_; +}; + +} // namespace snowboy + +#endif // SNOWBOY_INCLUDE_SNOWBOY_DETECT_H_ diff --git a/snowboy/lib/arm64/libsnowboy-detect.a b/snowboy/lib/arm64/libsnowboy-detect.a new file mode 100644 index 0000000..6b8ec97 Binary files /dev/null and b/snowboy/lib/arm64/libsnowboy-detect.a differ diff --git a/snowboy/lib/node/SnowboyDetectNative.d.ts b/snowboy/lib/node/SnowboyDetectNative.d.ts new file mode 100644 index 0000000..d071441 --- /dev/null +++ b/snowboy/lib/node/SnowboyDetectNative.d.ts @@ -0,0 +1,15 @@ +interface SnowboyDetectNativeInterface { + new (resource: string, models: string): SnowboyDetectNativeInterface; + Reset(): boolean; + RunDetection(audioData: Buffer): number; + SetSensitivity(sensitivity: string): void; + SetHighSensitivity(highSensitivity: string): void; + GetSensitivity(): string; + SetAudioGain(audioGain: number): void; + UpdateModel(): void; + NumHotwords(): number; + SampleRate(): number; + NumChannels(): number; + BitsPerSample(): number; + ApplyFrontend(applyFrontend: boolean): void; +} diff --git a/snowboy/lib/node/index.d.ts b/snowboy/lib/node/index.d.ts new file mode 100644 index 0000000..3a4d885 --- /dev/null +++ b/snowboy/lib/node/index.d.ts @@ -0,0 +1,58 @@ +/// +/// +import * as stream from 'stream'; +export interface HotwordModel { + file: string; + sensitivity?: string; + hotwords: string | Array; +} +export interface DetectorOptions { + resource: string; + models: HotwordModels; + audioGain?: number; + applyFrontend?: boolean; + highSensitivity?: string; +} +export interface SnowboyDetectInterface { + reset(): boolean; + runDetection(buffer: Buffer): number; + setSensitivity(sensitivity: string): void; + setHighSensitivity(highSensitivity: string): void; + getSensitivity(): string; + setAudioGain(gain: number): void; + updateModel(): void; + numHotwords(): number; + sampleRate(): number; + numChannels(): number; + bitsPerSample(): number; +} +export declare class HotwordModels implements HotwordModels { + private models; + private lookupTable; + add(model: HotwordModel): void; + get modelString(): string; + get sensitivityString(): string; + lookup(index: number): string; + numHotwords(): number; + private generateHotwordsLookupTable; +} +export declare class SnowboyDetect extends stream.Writable implements SnowboyDetectInterface { + nativeInstance: SnowboyDetectNativeInterface; + private models; + constructor(options: DetectorOptions); + reset(): boolean; + runDetection(buffer: Buffer): number; + setSensitivity(sensitivity: string): void; + setHighSensitivity(highSensitivity: string): void; + getSensitivity(): string; + setAudioGain(gain: number): void; + updateModel(): void; + numHotwords(): number; + sampleRate(): number; + numChannels(): number; + bitsPerSample(): number; + _write(chunk: Buffer, encoding: string, callback: Function): any; + private processDetectionResult; +} +export declare const Detector: typeof SnowboyDetect; +export declare const Models: typeof HotwordModels; diff --git a/snowboy/lib/node/index.ts b/snowboy/lib/node/index.ts new file mode 100644 index 0000000..87737f4 --- /dev/null +++ b/snowboy/lib/node/index.ts @@ -0,0 +1,208 @@ +import * as stream from 'stream'; +import * as path from 'path'; +import * as fs from 'fs'; +import * as binary from '@mapbox/node-pre-gyp'; + +const bindingPath: string = binary.find(path.resolve(path.join(__dirname, '../../../package.json'))); +const SnowboyDetectNative: SnowboyDetectNativeInterface = require(bindingPath).SnowboyDetect; + +enum DetectionResult { + SILENCE = -2, + ERROR = -1, + SOUND = 0 +} + +enum ModelType { + PMDL, + UMDL +} + +export interface HotwordModel { + file: string; + sensitivity?: string; + hotwords: string | Array; +} + +interface HotwordModelsInterface { + add(model: HotwordModel): void; + lookup(index: number): string; + numHotwords(): number; +} + +export interface DetectorOptions { + resource: string; + models: HotwordModels; + audioGain?: number; + applyFrontend?: boolean; + highSensitivity?: string; +} + +export interface SnowboyDetectInterface { + reset(): boolean; + runDetection(buffer: Buffer): number; + setSensitivity(sensitivity: string): void; + setHighSensitivity(highSensitivity: string): void; + getSensitivity(): string; + setAudioGain(gain: number): void; + updateModel(): void; + numHotwords(): number; + sampleRate(): number; + numChannels(): number; + bitsPerSample(): number; +} + +export class HotwordModels implements HotwordModels { + private models: Array = []; + private lookupTable: Array; + + add(model: HotwordModel) { + model.hotwords = [].concat(model.hotwords); + model.sensitivity = model.sensitivity || "0.5"; + + if (fs.existsSync(model.file) === false) { + throw new Error(`Model ${model.file} does not exists.`); + } + + const type = path.extname(model.file).toUpperCase(); + + if (ModelType[type as keyof typeof ModelType] === ModelType.PMDL && model.hotwords.length > 1) { + throw new Error('Personal models can define only one hotword.'); + } + + this.models.push(model); + this.lookupTable = this.generateHotwordsLookupTable(); + } + + get modelString(): string { + return this.models.map((model) => model.file).join(); + } + + get sensitivityString(): string { + return this.models.map((model) => model.sensitivity).join(); + } + + lookup(index: number): string { + const lookupIndex = index - 1; + if (lookupIndex < 0 || lookupIndex >= this.lookupTable.length) { + throw new Error('Index out of bounds.'); + } + return this.lookupTable[lookupIndex]; + } + + numHotwords(): number { + return this.lookupTable.length; + } + + private generateHotwordsLookupTable(): Array { + return this.models.reduce((hotwords, model) => { + return hotwords.concat(model.hotwords); + }, new Array()); + } +} + +export class SnowboyDetect extends stream.Writable implements SnowboyDetectInterface { + nativeInstance: SnowboyDetectNativeInterface; + private models: HotwordModels; + + constructor(options: DetectorOptions) { + super(); + + this.models = options.models; + this.nativeInstance = new SnowboyDetectNative(options.resource, options.models.modelString); + + if (this.nativeInstance.NumHotwords() !== options.models.numHotwords()) { + throw new Error('Loaded hotwords count does not match number of hotwords defined.'); + } + + this.nativeInstance.SetSensitivity(options.models.sensitivityString); + + if (options.audioGain) { + this.nativeInstance.SetAudioGain(options.audioGain); + } + + if (options.applyFrontend) { + this.nativeInstance.ApplyFrontend(options.applyFrontend); + } + + if (options.highSensitivity) { + this.nativeInstance.SetHighSensitivity(options.highSensitivity); + } + } + + reset(): boolean { + return this.nativeInstance.Reset(); + } + + runDetection(buffer: Buffer): number { + const index = this.nativeInstance.RunDetection(buffer); + this.processDetectionResult(index, buffer); + return index; + } + + setSensitivity(sensitivity: string): void { + this.nativeInstance.SetSensitivity(sensitivity); + } + + setHighSensitivity(highSensitivity: string): void { + this.nativeInstance.SetHighSensitivity(highSensitivity); + } + + getSensitivity(): string { + return this.nativeInstance.GetSensitivity(); + } + + setAudioGain(gain: number): void { + this.nativeInstance.SetAudioGain(gain); + } + + updateModel(): void { + this.nativeInstance.UpdateModel(); + } + + numHotwords(): number { + return this.nativeInstance.NumHotwords(); + } + + sampleRate(): number { + return this.nativeInstance.SampleRate(); + } + + numChannels(): number { + return this.nativeInstance.NumChannels(); + } + + bitsPerSample(): number { + return this.nativeInstance.BitsPerSample(); + } + + // Stream implementation + _write(chunk: Buffer, encoding: string, callback: Function) { + const index = this.nativeInstance.RunDetection(chunk); + this.processDetectionResult(index, chunk); + return callback(); + } + + private processDetectionResult(index: number, buffer: Buffer): void { + switch (index) { + case DetectionResult.ERROR: + this.emit('error'); + break; + + case DetectionResult.SILENCE: + this.emit('silence'); + break; + + case DetectionResult.SOUND: + this.emit('sound', buffer); + break; + + default: + const hotword = this.models.lookup(index); + this.emit('hotword', index, hotword, buffer); + break; + } + } +} + +export const Detector = SnowboyDetect; +export const Models = HotwordModels; diff --git a/snowboy/lib/node/node-pre-gyp.d.ts b/snowboy/lib/node/node-pre-gyp.d.ts new file mode 100644 index 0000000..31b664d --- /dev/null +++ b/snowboy/lib/node/node-pre-gyp.d.ts @@ -0,0 +1,3 @@ +declare module "@mapbox/node-pre-gyp" { + export function find(path:string):string; +} diff --git a/snowboy/lib/osx/libsnowboy-detect.a b/snowboy/lib/osx/libsnowboy-detect.a new file mode 100644 index 0000000..b0736ad Binary files /dev/null and b/snowboy/lib/osx/libsnowboy-detect.a differ diff --git a/snowboy/lib/rpi/libsnowboy-detect.a b/snowboy/lib/rpi/libsnowboy-detect.a new file mode 100644 index 0000000..df04d29 Binary files /dev/null and b/snowboy/lib/rpi/libsnowboy-detect.a differ diff --git a/snowboy/lib/snowboy.cc b/snowboy/lib/snowboy.cc new file mode 100644 index 0000000..7c444a9 --- /dev/null +++ b/snowboy/lib/snowboy.cc @@ -0,0 +1,183 @@ +#include +#include +#include + +class SnowboyDetect : public Nan::ObjectWrap { + public: + static NAN_MODULE_INIT(Init); + + private: + explicit SnowboyDetect(const std::string& resource_filename, + const std::string& model_str); + ~SnowboyDetect(); + + static NAN_METHOD(New); + static NAN_METHOD(Reset); + static NAN_METHOD(RunDetection); + static NAN_METHOD(SetSensitivity); + static NAN_METHOD(GetSensitivity); + static NAN_METHOD(SetAudioGain); + static NAN_METHOD(UpdateModel); + static NAN_METHOD(NumHotwords); + static NAN_METHOD(SampleRate); + static NAN_METHOD(NumChannels); + static NAN_METHOD(BitsPerSample); + static NAN_METHOD(ApplyFrontend); + + static Nan::Persistent constructor; + + snowboy::SnowboyDetect* detector; +}; + +Nan::Persistent SnowboyDetect::constructor; + +SnowboyDetect::SnowboyDetect(const std::string& resource_filename, + const std::string& model_str) { + try { + this->detector = new snowboy::SnowboyDetect(resource_filename, model_str); + } catch (std::runtime_error const& e) { + Nan::ThrowError(e.what()); + } +} +SnowboyDetect::~SnowboyDetect() { + if (this->detector) { + delete this->detector; + } +} + +NAN_MODULE_INIT(SnowboyDetect::Init) { + v8::Local tpl = Nan::New(New); + tpl->SetClassName(Nan::New("SnowboyDetect").ToLocalChecked()); + tpl->InstanceTemplate()->SetInternalFieldCount(1); + + SetPrototypeMethod(tpl, "Reset", Reset); + SetPrototypeMethod(tpl, "RunDetection", RunDetection); + SetPrototypeMethod(tpl, "SetSensitivity", SetSensitivity); + SetPrototypeMethod(tpl, "GetSensitivity", GetSensitivity); + SetPrototypeMethod(tpl, "SetAudioGain", SetAudioGain); + SetPrototypeMethod(tpl, "UpdateModel", UpdateModel); + SetPrototypeMethod(tpl, "NumHotwords", NumHotwords); + SetPrototypeMethod(tpl, "SampleRate", SampleRate); + SetPrototypeMethod(tpl, "NumChannels", NumChannels); + SetPrototypeMethod(tpl, "BitsPerSample", BitsPerSample); + SetPrototypeMethod(tpl, "ApplyFrontend", ApplyFrontend); + + constructor.Reset(Nan::GetFunction(tpl).ToLocalChecked()); + Nan::Set(target, Nan::New("SnowboyDetect").ToLocalChecked(), + Nan::GetFunction(tpl).ToLocalChecked()); +} + +NAN_METHOD(SnowboyDetect::New) { + if (!info.IsConstructCall()) { + Nan::ThrowError("Cannot call constructor as function, you need to use " + "'new' keyword"); + return; + } else if (!info[0]->IsString()) { + Nan::ThrowTypeError("resource must be a string"); + return; + } else if (!info[1]->IsString()) { + Nan::ThrowTypeError("model must be a string"); + return; + } + + Nan::MaybeLocal resource = Nan::To(info[0]); + Nan::MaybeLocal model = Nan::To(info[1]); + Nan::Utf8String resourceString(resource.ToLocalChecked()); + Nan::Utf8String modelString(model.ToLocalChecked()); + SnowboyDetect* obj = new SnowboyDetect(*resourceString, *modelString); + obj->Wrap(info.This()); + info.GetReturnValue().Set(info.This()); +} + +NAN_METHOD(SnowboyDetect::Reset) { + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + bool ret = ptr->detector->Reset(); + info.GetReturnValue().Set(Nan::New(ret)); +} + +NAN_METHOD(SnowboyDetect::RunDetection) { + if (!info[0]->IsObject()) { + Nan::ThrowTypeError("data must be a buffer"); + return; + } + + Nan::MaybeLocal buffer = Nan::To(info[0]); + char* bufferData = node::Buffer::Data(buffer.ToLocalChecked()); + size_t bufferLength = node::Buffer::Length(buffer.ToLocalChecked()); + + std::string data(bufferData, bufferLength); + + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + int ret = ptr->detector->RunDetection(data); + info.GetReturnValue().Set(Nan::New(ret)); +} + +NAN_METHOD(SnowboyDetect::SetSensitivity) { + if (!info[0]->IsString()) { + Nan::ThrowTypeError("sensitivity must be a string"); + return; + } + + Nan::MaybeLocal sensitivity = Nan::To(info[0]); + Nan::Utf8String sensitivityString(sensitivity.ToLocalChecked()); + + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + ptr->detector->SetSensitivity(*sensitivityString); +} + +NAN_METHOD(SnowboyDetect::ApplyFrontend) { + Nan::Maybe applyFrontend= Nan::To(info[0]); + bool applyFrontendBool=applyFrontend.FromJust(); + + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + ptr->detector->ApplyFrontend(applyFrontendBool); +} + +NAN_METHOD(SnowboyDetect::GetSensitivity) { + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + std::string sensitivity = ptr->detector->GetSensitivity(); + info.GetReturnValue().Set(Nan::New(sensitivity).ToLocalChecked()); +} + +NAN_METHOD(SnowboyDetect::SetAudioGain) { + if (!info[0]->IsNumber()) { + Nan::ThrowTypeError("gain must be a number"); + return; + } + + Nan::MaybeLocal gain = Nan::To(info[0]); + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + ptr->detector->SetAudioGain(gain.ToLocalChecked()->Value()); +} + +NAN_METHOD(SnowboyDetect::UpdateModel) { + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + ptr->detector->UpdateModel(); +} + +NAN_METHOD(SnowboyDetect::NumHotwords) { + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + int numHotwords = ptr->detector->NumHotwords(); + info.GetReturnValue().Set(Nan::New(numHotwords)); +} + +NAN_METHOD(SnowboyDetect::SampleRate) { + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + int sampleRate = ptr->detector->SampleRate(); + info.GetReturnValue().Set(Nan::New(sampleRate)); +} + +NAN_METHOD(SnowboyDetect::NumChannels) { + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + int numChannels = ptr->detector->NumChannels(); + info.GetReturnValue().Set(Nan::New(numChannels)); +} + +NAN_METHOD(SnowboyDetect::BitsPerSample) { + SnowboyDetect* ptr = Nan::ObjectWrap::Unwrap(info.Holder()); + int bitsPerSample = ptr->detector->BitsPerSample(); + info.GetReturnValue().Set(Nan::New(bitsPerSample)); +} + + +NODE_MODULE(SnowboyDetect, SnowboyDetect::Init) diff --git a/snowboy/lib/x64/libsnowboy-detect.a b/snowboy/lib/x64/libsnowboy-detect.a new file mode 100644 index 0000000..6aaad1a Binary files /dev/null and b/snowboy/lib/x64/libsnowboy-detect.a differ diff --git a/snowboy/models/computer.umdl b/snowboy/models/computer.umdl new file mode 100644 index 0000000..3760688 Binary files /dev/null and b/snowboy/models/computer.umdl differ diff --git a/snowboy/models/hey_extreme.umdl b/snowboy/models/hey_extreme.umdl new file mode 100644 index 0000000..4af46fd Binary files /dev/null and b/snowboy/models/hey_extreme.umdl differ diff --git a/snowboy/models/jarvis.umdl b/snowboy/models/jarvis.umdl new file mode 100644 index 0000000..793d253 Binary files /dev/null and b/snowboy/models/jarvis.umdl differ diff --git a/snowboy/models/neoya.umdl b/snowboy/models/neoya.umdl new file mode 100644 index 0000000..90dba54 Binary files /dev/null and b/snowboy/models/neoya.umdl differ diff --git a/snowboy/models/smart_mirror.umdl b/snowboy/models/smart_mirror.umdl new file mode 100644 index 0000000..497dc5b Binary files /dev/null and b/snowboy/models/smart_mirror.umdl differ diff --git a/snowboy/models/snowboy.umdl b/snowboy/models/snowboy.umdl new file mode 100644 index 0000000..bb68185 Binary files /dev/null and b/snowboy/models/snowboy.umdl differ diff --git a/snowboy/models/subex.umdl b/snowboy/models/subex.umdl new file mode 100644 index 0000000..e9c261e Binary files /dev/null and b/snowboy/models/subex.umdl differ diff --git a/snowboy/models/view_glass.umdl b/snowboy/models/view_glass.umdl new file mode 100644 index 0000000..e367dfb Binary files /dev/null and b/snowboy/models/view_glass.umdl differ diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..0ad8296 --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,35 @@ +{ + "compilerOptions": { + "target": "es6", + "module": "commonjs", + "moduleResolution": "node", + "isolatedModules": false, + "jsx": "react", + "experimentalDecorators": false, + "emitDecoratorMetadata": false, + "declaration": true, + "noImplicitAny": true, + "noImplicitUseStrict": false, + "noFallthroughCasesInSwitch": true, + "noImplicitReturns": true, + "removeComments": true, + "noLib": false, + "preserveConstEnums": true, + "suppressImplicitAnyIndexErrors": true, + "skipLibCheck": true, + "ignoreDeprecations": "5.0" + }, + "files": [ + "snowboy/lib/node/index.ts", + "snowboy/lib/node/node-pre-gyp.d.ts", + "snowboy/lib/node/SnowboyDetectNative.d.ts" + ], + "exclude": [ + "node_modules" + ], + "compileOnSave": true, + "buildOnSave": false, + "atom": { + "rewriteTsconfig": false + } +}