import { CheetahModel, CheetahOptions, CheetahTranscript } from './types';
export declare class CheetahWorker {
    private readonly _worker;
    private readonly _version;
    private readonly _frameLength;
    private readonly _sampleRate;
    private static _wasmSimd;
    private static _wasmSimdLib;
    private static _wasmPThread;
    private static _wasmPThreadLib;
    private static _sdk;
    private constructor();
    /**
     * Get Cheetah engine version.
     */
    get version(): string;
    /**
     * Get Cheetah frame length.
     */
    get frameLength(): number;
    /**
     * Get sample rate.
     */
    get sampleRate(): number;
    /**
     * Get Cheetah worker instance.
     */
    get worker(): Worker;
    /**
     * Set base64 wasm file with SIMD feature.
     * @param wasmSimd Base64'd wasm SIMD file to use to initialize wasm.
     */
    static setWasmSimd(wasmSimd: string): void;
    /**
     * Set base64 wasm file with SIMD feature in text format.
     * @param wasmSimdLib Base64'd wasm SIMD file in text format.
     */
    static setWasmSimdLib(wasmSimdLib: string): void;
    /**
     * Set base64 wasm file with SIMD and pthread feature.
     * @param wasmPThread Base64'd wasm file to use to initialize wasm.
     */
    static setWasmPThread(wasmPThread: string): void;
    /**
     * Set base64 SIMD and thread wasm file in text format.
     * @param wasmPThreadLib Base64'd wasm file in text format.
     */
    static setWasmPThreadLib(wasmPThreadLib: string): void;
    static setSdk(sdk: string): void;
    /**
     * Creates a worker instance of the Picovoice Cheetah Speech-to-Text engine.
     * Behind the scenes, it requires the WebAssembly code to load and initialize before
     * it can create an instance.
     *
     * @param accessKey AccessKey obtained from Picovoice Console (https://console.picovoice.ai/)
     * @param transcriptCallback User-defined callback to run after receiving transcript result.
     * @param model Cheetah model options.
     * @param model.base64 The model in base64 string to initialize Cheetah.
     * @param model.publicPath The model path relative to the public directory.
     * @param model.customWritePath Custom path to save the model in storage.
     * Set to a different name to use multiple models across `cheetah` instances.
     * @param model.forceWrite Flag to overwrite the model in storage even if it exists.
     * @param model.version Version of the model file. Increment to update the model file in storage.
     * @param options Optional configuration arguments.
     * @param options.device String representation of the device (e.g., CPU or GPU) to use. If set to `best`, the most
     * suitable device is selected automatically. If set to `gpu`, the engine uses the first available GPU device. To
     * select a specific GPU device, set this argument to `gpu:${GPU_INDEX}`, where `${GPU_INDEX}` is the index of the
     * target GPU. If set to `cpu`, the engine will run on the CPU with the default number of threads. To specify the
     * number of threads, set this argument to `cpu:${NUM_THREADS}`, where `${NUM_THREADS}` is the desired number of
     * threads.
     * @param options.endpointDurationSec Duration of endpoint in seconds. A speech endpoint is detected when there is a
     * chunk of audio (with a duration specified herein) after an utterance without any speech in it. Set to `0`
     * to disable endpoint detection.
     * @param options.enableAutomaticPunctuation Flag to enable automatic punctuation insertion.
     * @param options.processErrorCallback User-defined callback invoked if any error happens
     * while processing the audio stream. Its only input argument is the error message.
     *
     * @returns An instance of CheetahWorker.
     */
    static create(accessKey: string, transcriptCallback: (cheetahTranscript: CheetahTranscript) => void, model: CheetahModel, options?: CheetahOptions): Promise<CheetahWorker>;
    /**
     * Processes a frame of audio in a worker.
     * The transcript result will be supplied with the callback provided when initializing the worker either
     * by 'fromBase64' or 'fromPublicDirectory'.
     * Can also send a message directly using 'this.worker.postMessage({command: "process", pcm: [...]})'.
     *
     * @param pcm A frame of audio sample.
     */
    process(pcm: Int16Array): void;
    /**
     * Processes a frame of audio in a worker.
     * The annotated transcript result will be supplied with the callback provided when initializing the worker either
     * by 'fromBase64' or 'fromPublicDirectory'.
     * Can also send a message directly using 'this.worker.postMessage({command: "process_annotated", pcm: [...]})'.
     *
     * @param pcm A frame of audio sample.
     */
    processAnnotated(pcm: Int16Array): void;
    /**
     * Flushes internal state of the object, sends a message to the worker to transcribe remaining text.
     * The transcript result will be supplied with the callback provided when initializing the worker either
     * by 'fromBase64' or 'fromPublicDirectory' with 'endpoint=true'.
     * Can also send a message directly using 'this.worker.postMessage({command: "flush"})'.
     */
    flush(): void;
    /**
     * Flushes internal state of the object, sends a message to the worker to transcribe remaining text.
     * The annotated transcript result will be supplied with the callback provided when initializing the worker either
     * by 'fromBase64' or 'fromPublicDirectory' with 'endpoint=true'.
     * Can also send a message directly using 'this.worker.postMessage({command: "flush_annotated"})'.
     */
    flushAnnotated(): void;
    /**
     * Releases resources acquired by WebAssembly module.
     */
    release(): Promise<void>;
    /**
     * Terminates the active worker. Stops all requests being handled by worker.
     */
    terminate(): void;
}
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