UNPKG

@tensorflow/tfjs-data

Version:

TensorFlow Data API in JavaScript

60 lines (59 loc) 2.32 kB
/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */ /// <amd-module name="@tensorflow/tfjs-data/dist/iterators/microphone_iterator" /> import { Tensor, Tensor2D, Tensor3D, TensorContainer } from '@tensorflow/tfjs-core'; import { MicrophoneConfig } from '../types'; import { LazyIterator } from './lazy_iterator'; /** * Provide a stream of tensors from microphone audio stream. The tensors are * representing audio data as frequency-domain spectrogram generated with * browser's native FFT. Tensors representing time-domain waveform is available * based on configuration. Only works in browser environment. */ export declare class MicrophoneIterator extends LazyIterator<TensorContainer> { protected readonly microphoneConfig: MicrophoneConfig; private isClosed; private stream; private readonly fftSize; private readonly columnTruncateLength; private freqData; private timeData; private readonly numFrames; private analyser; private audioContext; private sampleRateHz; private readonly audioTrackConstraints; private readonly smoothingTimeConstant; private readonly includeSpectrogram; private readonly includeWaveform; private constructor(); summary(): string; static create(microphoneConfig?: MicrophoneConfig): Promise<MicrophoneIterator>; start(): Promise<void>; next(): Promise<IteratorResult<TensorContainer>>; capture(): Promise<{ spectrogram: Tensor3D; waveform: Tensor2D; }>; private getAudioData; stop(): void; toArray(): Promise<Tensor[]>; getSampleRate(): number; private flattenQueue; private getTensorFromAudioDataArray; }