// 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));