test_asr_non_streaming_transducer.js
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// Copyright (c) 2024 Xiaomi Corporation
const sherpa_onnx = require('sherpa-onnx-node');
// Please download test files from
// https://github.com/k2-fsa/sherpa-onnx/releases/tag/asr-models
const config = {
'featConfig': {
'sampleRate': 16000,
'featureDim': 80,
},
'modelConfig': {
'transducer': {
'encoder':
'./sherpa-onnx-zipformer-en-2023-04-01/encoder-epoch-99-avg-1.int8.onnx',
'decoder':
'./sherpa-onnx-zipformer-en-2023-04-01/decoder-epoch-99-avg-1.onnx',
'joiner':
'./sherpa-onnx-zipformer-en-2023-04-01/joiner-epoch-99-avg-1.int8.onnx',
},
'tokens': './sherpa-onnx-zipformer-en-2023-04-01/tokens.txt',
'numThreads': 2,
'provider': 'cpu',
'debug': 1,
}
};
const waveFilename = './sherpa-onnx-zipformer-en-2023-04-01/test_wavs/1.wav';
const recognizer = new sherpa_onnx.OfflineRecognizer(config);
console.log('Started')
let start = Date.now();
const stream = recognizer.createStream();
const wave = sherpa_onnx.readWave(waveFilename);
stream.acceptWaveform({sampleRate: wave.sampleRate, samples: wave.samples});
recognizer.decode(stream);
result = recognizer.getResult(stream)
let stop = Date.now();
console.log('Done')
const elapsed_seconds = (stop - start) / 1000;
const duration = wave.samples.length / wave.sampleRate;
const real_time_factor = elapsed_seconds / duration;
console.log('Wave duration', duration.toFixed(3), 'secodns')
console.log('Elapsed', elapsed_seconds.toFixed(3), 'secodns')
console.log(
`RTF = ${elapsed_seconds.toFixed(3)}/${duration.toFixed(3)} =`,
real_time_factor.toFixed(3))
console.log(waveFilename)
console.log('result\n', result)