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// Copyright 2017 Google LLC
//
// 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.
/**
* This application demonstrates how to perform basic recognize operations with
* with the Google Cloud Speech API.
*
* For more information, see the README.md under /speech and the documentation
* at https://cloud.google.com/speech/docs.
*/
'use strict';
// sample-metadata:
// title: Recognize speech with metadata
// description: Analyzes an audio stream, and detects speech along with metadata.
// usage: node recognize.v1p1beta1.js ./resources/commercial_mono.wav <encoding> <sampleRateHertz> <languageCode>
function main(
filename,
encoding = 'LINEAR16',
sampleRateHertz = 16000,
languageCode = 'en-US'
) {
// [START speech_transcribe_recognition_metadata_beta]
// Imports the Google Cloud client library for Beta API
/**
* TODO(developer): Update client library import to use new
* version of API when desired features become available
*/
const speech = require('@google-cloud/speech').v1p1beta1;
const fs = require('fs');
// Creates a client
const client = new speech.SpeechClient();
async function syncRecognizeWithMetaData() {
/**
* TODO(developer): Uncomment the following lines before running the sample.
*/
// const filename = 'Local path to audio file, e.g. /path/to/audio.raw';
// const encoding = 'Encoding of the audio file, e.g. LINEAR16';
// const sampleRateHertz = 16000;
// const languageCode = 'BCP-47 language code, e.g. en-US';
const recognitionMetadata = {
interactionType: 'DISCUSSION',
microphoneDistance: 'NEARFIELD',
recordingDeviceType: 'SMARTPHONE',
recordingDeviceName: 'Pixel 2 XL',
industryNaicsCodeOfAudio: 519190,
};
const config = {
encoding: encoding,
sampleRateHertz: sampleRateHertz,
languageCode: languageCode,
metadata: recognitionMetadata,
};
const audio = {
content: fs.readFileSync(filename).toString('base64'),
};
const request = {
config: config,
audio: audio,
};
// Detects speech in the audio file
const [response] = await client.recognize(request);
response.results.forEach(result => {
const alternative = result.alternatives[0];
console.log(alternative.transcript);
});
// [END speech_transcribe_recognition_metadata_beta]
}
syncRecognizeWithMetaData();
}
process.on('unhandledRejection', err => {
console.error(err.message);
process.exitCode = 1;
});
main(...process.argv.slice(2));