@huggingface/transformers
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State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
25 lines (20 loc) • 926 B
JavaScript
import { Processor } from '../../base/processing_utils.js';
import { PyAnnoteFeatureExtractor } from './feature_extraction_pyannote.js';
export class PyAnnoteProcessor extends Processor {
static feature_extractor_class = PyAnnoteFeatureExtractor
/**
* Calls the feature_extractor function with the given audio input.
* @param {any} audio The audio input to extract features from.
* @returns {Promise<any>} A Promise that resolves with the extracted features.
*/
async _call(audio) {
return await this.feature_extractor(audio)
}
/** @type {PyAnnoteFeatureExtractor['post_process_speaker_diarization']} */
post_process_speaker_diarization(...args) {
return /** @type {PyAnnoteFeatureExtractor} */(this.feature_extractor).post_process_speaker_diarization(...args);
}
get sampling_rate() {
return this.feature_extractor.config.sampling_rate;
}
}