/// /// import { EventEmitter } from "tsee"; import { LinuxImpulseRunner, RunnerClassifyResponseSuccess } from "./linux-impulse-runner"; export declare class AudioClassifier extends EventEmitter<{ result: (result: RunnerClassifyResponseSuccess, timeMs: number, audioBuffer: Buffer) => void; noAudioError: () => void; }> { private _runner; private _recorder; private _audio; private _stopped; private _verbose; private _model; /** * Classifies realtime audio data * @param runner An instance of the initialized impulse runner * @param verbose Whether to log debug info */ constructor(runner: LinuxImpulseRunner, verbose?: boolean); /** * Start the audio classifier * @param sliceLengthMs Slice length in milliseconds (runs inference every X ms.) * this is ignored if the model has a fixed slice_size * (true for all new models) */ start(device: string, sliceLengthMs?: number): Promise; resume(): void; pause(): void; /** * Stop the audio classifier */ stop(): Promise; getRunner(): LinuxImpulseRunner; }