Picovoice Platform
Web API

API Reference for the Picovoice Web SDK (npmjs ).

Picovoice

class Picovoice {}

Class for using Picovoice Platform on the main thread.

Picovoice.`create()`

static async function create(
    accessKey: string,
    keyword: PorcupineKeyword,
    wakeWordCallback: DetectionCallback,
    porcupineModel: PorcupineModel,
    context: RhinoContext,
    inferenceCallback: InferenceCallback,
    rhinoModel: RhinoModel,
    options: PicovoiceOptions = {}
): Promise<Picovoice>

Creates an instance of Picovoice.

Parameters

accessKey string : AccessKey obtained from Picovoice Console.
keyword PorcupineKeyword : A Porcupine keyword. Can be provided as a built-in, base64 or a hosted .ppn file.
wakeWordCallback DetectionCallback : User-defined callback to run after a keyword is detected.
porcupineModel PorcupineModel : Contains the model parameters that are used to initialize the Porcupine engine. Model can be encoded in base64 or can be stored in a .pv file in a public directory.
context RhinoContext : A Rhino context. Can be provided as a base64 or a hosted .rhn file.
inferenceCallback InferenceCallback : User-defined callback invoked when Rhino has made an inference.
rhinoModel RhinoModel : Contains the model parameters that are used to initialize the Rhino engine. Model can be encoded in base64 or can be stored in a .pv file in a public directory.
options PicovoiceOptions : Optional configuration arguments.

Returns

Picovoice : An instance of the Picovoice platform.

Picovoice.`process()`

async function process(pcm: Int16Array): Promise<void>

Processes a frame of audio and invokes user-provided callbacks if the keyword is detected or an intent is inferred. The required sample rate can be retrieved from 'sampleRate' and the length of frame (number of audio samples per frame) can be retrieved from 'frameLength'. The audio must be single-channel and 16-bit linearly-encoded.

Results are returned via the user-defined wakeWordCallback and inferenceCallback provided when creating Picovoice.

Parameters

pcm Int16Array : A frame of audio.

Picovoice.`reset()`

async function reset(): Promise<void>

Resets the internal Picovoice state.

Picovoice.`release()`

async function release(): Promise<void>

Releases resources acquired by the Picovoice Web SDK.

Picovoice.`contextInfo`

get contextInfo() : string | undefined

Get the Rhino context info. Shows the list of intents, which expressions map to those intents, as well as slots and their possible values.

Picovoice.`frameLength`

get frameLength() : number | undefined

Get number of samples per frame required by Picovoice.

Picovoice.`sampleRate`

get sampleRate() : number | undefined

Get audio sample rate required by Picovoice.

Picovoice.`version`

get version() : string

Get Picovoice SDK version.

PicovoiceOptions

type PicovoiceOptions = {
  processErrorCallback?: (error: string) => void;
  /** @defaultValue '1.0' */
  endpointDurationSec?: number;
  /** @defaultValue 'false' */
  requireEndpoint?: boolean;
};

Optional parameters for Picovoice.

processErrorCallback (error: string) => void : User-defined callback invoked if any error happens while processing the audio stream. Its only input argument is the error message. NOTE: This is only used by the picovoice-web package.
endpointDurationSec number : Endpoint duration in seconds. An endpoint is a chunk of silence at the end of an utterance that marks the end of spoken command. It should be a positive number within [0.5, 5]. A lower endpoint duration reduces delay and improves responsiveness. A higher endpoint duration assures Rhino doesn't return inference pre-emptively in case the user pauses before finishing the request.
requireEndpoint If set to true, Rhino requires an endpoint (a chunk of silence) after the spoken command. If set to false, Rhino tries to detect silence, but if it cannot, it still will provide inference regardless. Set to false only if operating in an environment with overlapping speech (e.g. people talking in the background).

PicovoiceWorker

class PicovoiceWorker {}

A class for using Picovoice Platform on a worker thread.

PicovoiceWorker.`create()`

static async function create(
    accessKey: string,
    keyword: PorcupineKeyword,
    wakeWordCallback: DetectionCallback,
    porcupineModel: PorcupineModel,
    context: RhinoContext,
    inferenceCallback: InferenceCallback,
    rhinoModel: RhinoModel,
    options: PicovoiceOptions = {}
): Promise<PicovoiceWorker>

Creates an instance of PicovoiceWorker.

Parameters

accessKey string : AccessKey obtained from Picovoice Console.
keyword PorcupineKeyword : A Porcupine keyword. Can be provided as a built-in, base64 or a hosted .ppn file.
wakeWordCallback DetectionCallback : User-defined callback to run after a keyword is detected.
porcupineModel PorcupineModel : Contains the model parameters that are used to initialize the Porcupine engine. Model can be encoded in base64 or can be stored in a .pv file in a public directory.
context RhinoContext : A Rhino context. Can be provided as a base64 or a hosted .rhn file.
inferenceCallback InferenceCallback : User-defined callback invoked when Rhino has made an inference.
rhinoModel RhinoModel : Contains the model parameters that are used to initialize the Rhino engine. Model can be encoded in base64 or can be stored in a .pv file in a public directory.
options PicovoiceOptions : Optional configuration arguments.

Returns

PicovoiceWorker : An instance of the Picovoice platform on a worker thread.

PicovoiceWorker.`process()`

async function process(pcm: Int16Array): void

Processes a frame of audio. The required sample rate can be retrieved from .sampleRate and the length of frame (number of audio samples per frame) can be retrieved from .frameLength The audio needs to be 16-bit linearly-encoded. Picovoice operates on single-channel audio.

Results are returned via the user-defined wakeWordCallback and inferenceCallback that are provided when creating a PicovoiceWorker.

Parameters