@huggingface/transformers
Version:
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
23 lines (19 loc) • 866 B
JavaScript
import { FeatureExtractor, validate_audio_inputs } from '../../feature_extraction_utils.js';
import { Tensor } from '../../utils/tensor.js';
export class MoonshineFeatureExtractor extends FeatureExtractor {
/**
* Asynchronously extracts input values from a given audio using the provided configuration.
* @param {Float32Array|Float64Array} audio The audio data as a Float32Array/Float64Array.
* @returns {Promise<{ input_values: Tensor; }>} The extracted input values.
*/
async _call(audio) {
validate_audio_inputs(audio, 'MoonshineFeatureExtractor');
if (audio instanceof Float64Array) {
audio = new Float32Array(audio);
}
const shape = [1 /* batch_size */, audio.length /* num_samples */];
return {
input_values: new Tensor('float32', audio, shape),
};
}
}