187 lines
6.2 KiB
TypeScript
187 lines
6.2 KiB
TypeScript
/* eslint-disable no-bitwise */
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interface RnnoiseModule extends EmscriptenModule {
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_rnnoise_create() : number;
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_rnnoise_destroy(context: number): void;
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_rnnoise_process_frame(context: number, input: number, output: number): number;
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}
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/**
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* Constant. Rnnoise default sample size, samples of different size won't work.
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*/
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export const RNNOISE_SAMPLE_LENGTH = 480;
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/**
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* Constant. Rnnoise only takes inputs of 480 PCM float32 samples thus 480*4.
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*/
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const RNNOISE_BUFFER_SIZE: number = RNNOISE_SAMPLE_LENGTH * 4;
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/**
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* Constant. Rnnoise only takes operates on 44.1Khz float 32 little endian PCM.
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*/
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const PCM_FREQUENCY = 44100;
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/**
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* Used to shift a 32 bit number by 16 bits.
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*/
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const SHIFT_16_BIT_NR = 32768;
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/**
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* Represents an adaptor for the rnnoise library compiled to webassembly. The class takes care of webassembly
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* memory management and exposes rnnoise functionality such as PCM audio denoising and VAD (voice activity
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* detection) scores.
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*/
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export default class RnnoiseProcessor {
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/**
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* Rnnoise context object needed to perform the audio processing.
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*/
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private _context: number;
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/**
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* State flag, check if the instance was destroyed.
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*/
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private _destroyed = false;
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/**
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* WASM interface through which calls to rnnoise are made.
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*/
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private _wasmInterface: RnnoiseModule;
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/**
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* WASM dynamic memory buffer used as input for rnnoise processing method.
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*/
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private _wasmPcmInput: number;
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/**
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* The Float32Array index representing the start point in the wasm heap of the _wasmPcmInput buffer.
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*/
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private _wasmPcmInputF32Index: number;
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/**
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* Constructor.
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*
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* @class
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* @param {Object} wasmInterface - WebAssembly module interface that exposes rnnoise functionality.
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*/
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constructor(wasmInterface: RnnoiseModule) {
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// Considering that we deal with dynamic allocated memory employ exception safety strong guarantee
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// i.e. in case of exception there are no side effects.
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try {
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this._wasmInterface = wasmInterface;
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// For VAD score purposes only allocate the buffers once and reuse them
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this._wasmPcmInput = this._wasmInterface._malloc(RNNOISE_BUFFER_SIZE);
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this._wasmPcmInputF32Index = this._wasmPcmInput >> 2;
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if (!this._wasmPcmInput) {
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throw Error('Failed to create wasm input memory buffer!');
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}
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this._context = this._wasmInterface._rnnoise_create();
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} catch (error) {
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// release can be called even if not all the components were initialized.
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this.destroy();
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throw error;
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}
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}
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/**
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* Release resources associated with the wasm context. If something goes downhill here
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* i.e. Exception is thrown, there is nothing much we can do.
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*
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* @returns {void}
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*/
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_releaseWasmResources(): void {
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// For VAD score purposes only allocate the buffers once and reuse them
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if (this._wasmPcmInput) {
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this._wasmInterface._free(this._wasmPcmInput);
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}
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if (this._context) {
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this._wasmInterface._rnnoise_destroy(this._context);
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}
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}
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/**
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* Rnnoise can only operate on a certain PCM array size.
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*
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* @returns {number} - The PCM sample array size as required by rnnoise.
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*/
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getSampleLength(): number {
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return RNNOISE_SAMPLE_LENGTH;
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}
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/**
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* Rnnoise can only operate on a certain format of PCM sample namely float 32 44.1Kz.
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*
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* @returns {number} - PCM sample frequency as required by rnnoise.
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*/
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getRequiredPCMFrequency(): number {
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return PCM_FREQUENCY;
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}
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/**
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* Release any resources required by the rnnoise context this needs to be called
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* before destroying any context that uses the processor.
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*
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* @returns {void}
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*/
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destroy(): void {
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// Attempting to release a non initialized processor, do nothing.
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if (this._destroyed) {
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return;
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}
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this._releaseWasmResources();
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this._destroyed = true;
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}
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/**
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* Calculate the Voice Activity Detection for a raw Float32 PCM sample Array.
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* The size of the array must be of exactly 480 samples, this constraint comes from the rnnoise library.
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*
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* @param {Float32Array} pcmFrame - Array containing 32 bit PCM samples.
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* @returns {Float} Contains VAD score in the interval 0 - 1 i.e. 0.90.
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*/
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calculateAudioFrameVAD(pcmFrame: Float32Array): number {
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return this.processAudioFrame(pcmFrame);
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}
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/**
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* Process an audio frame, optionally denoising the input pcmFrame and returning the Voice Activity Detection score
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* for a raw Float32 PCM sample Array.
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* The size of the array must be of exactly 480 samples, this constraint comes from the rnnoise library.
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*
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* @param {Float32Array} pcmFrame - Array containing 32 bit PCM samples. Parameter is also used as output
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* when {@code shouldDenoise} is true.
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* @param {boolean} shouldDenoise - Should the denoised frame be returned in pcmFrame.
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* @returns {Float} Contains VAD score in the interval 0 - 1 i.e. 0.90 .
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*/
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processAudioFrame(pcmFrame: Float32Array, shouldDenoise: Boolean = false): number {
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// Convert 32 bit Float PCM samples to 16 bit Float PCM samples as that's what rnnoise accepts as input
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for (let i = 0; i < RNNOISE_SAMPLE_LENGTH; i++) {
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this._wasmInterface.HEAPF32[this._wasmPcmInputF32Index + i] = pcmFrame[i] * SHIFT_16_BIT_NR;
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}
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// Use the same buffer for input/output, rnnoise supports this behavior
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const vadScore = this._wasmInterface._rnnoise_process_frame(
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this._context,
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this._wasmPcmInput,
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this._wasmPcmInput
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);
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// Rnnoise denoises the frame by default but we can avoid unnecessary operations if the calling
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// client doesn't use the denoised frame.
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if (shouldDenoise) {
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// Convert back to 32 bit PCM
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for (let i = 0; i < RNNOISE_SAMPLE_LENGTH; i++) {
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pcmFrame[i] = this._wasmInterface.HEAPF32[this._wasmPcmInputF32Index + i] / SHIFT_16_BIT_NR;
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}
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}
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return vadScore;
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}
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}
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