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November 22, 2019 01:26
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Transcribe video/audio using IBM Watson
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var request = require('request'); | |
var fs = require('fs'); | |
var sox = require('sox'); | |
var spawn = require('child_process').spawn; | |
var WATSON_USER = ''; | |
var WATSON_PASS = ''; | |
var url = 'https://stream.watsonplatform.net/speech-to-text/api/v1/recognize'; | |
function convertToWav(file, cb) { | |
var aud_file = file + '.temp.wav'; | |
fs.exists(aud_file, function(exists) { | |
if (exists) { | |
cb(aud_file); | |
} else { | |
var convert = spawn('ffmpeg', ['-i', file, '-acodec', 'pcm_s16le', '-ac', '1', '-ar', '16000', aud_file]); | |
convert.on('close', function() { | |
cb(aud_file); | |
}); | |
} | |
}); | |
} | |
function split(file, cb) { | |
//split into 5 minute chunks | |
var maxLength = 60 * 5; | |
var total = 0; | |
var files = []; | |
sox.identify(file, function(err, results) { | |
var duration = results.duration; | |
if (duration > maxLength) { | |
var i = 0; | |
while (i < duration) { | |
total++; | |
var filePart = file + '.' + i + '.wav'; | |
var args = [file, filePart, 'trim', '' + i, '' + maxLength]; | |
var s = spawn('sox', args); | |
s.on('close', finishedSplit.bind({}, filePart, i)); | |
i += maxLength; | |
} | |
} else { | |
cb([{ | |
name: filename, | |
offset: 0 | |
}]); | |
} | |
}); | |
function finishedSplit(filename, start) { | |
files.push({ | |
name: filename, | |
offset: start | |
}); | |
total--; | |
if (total === 0) { | |
cb(files); | |
} | |
} | |
} | |
function send_to_watson(file, callback) { | |
fs.readFile(file, function(error, data) { | |
if (error) { | |
console.log(error); | |
return false; | |
} | |
var options = { | |
headers: { | |
'Content-Type': 'audio/wav', | |
'Transfer-Encoding': 'chunked', | |
}, | |
qs: { | |
timestamps: 'true', | |
continuous: 'true', | |
inactivity_timeout: '-1' | |
}, | |
auth: { | |
user: WATSON_USER, | |
pass: WATSON_PASS | |
}, | |
body: data | |
}; | |
request.post(url, options, function(error, response, body) { | |
if (error) console.log(error); | |
// var parsed = parse(JSON.parse(body)); | |
if (typeof callback !== 'undefined') { | |
callback(JSON.parse(body)); | |
} | |
}); | |
}); | |
} | |
function parse(data, offset) { | |
if (typeof offset === 'undefined') offset = 0; | |
var out = { | |
sentences: [] | |
}; | |
out.sentences = data.results.map(function(r) { | |
var item = {}; | |
var _item = r.alternatives[0]; | |
item.transcript = _item.transcript; | |
item.confidence = _item.confidence; | |
item.words = _item.timestamps.map(function(t) { | |
return { | |
word: t[0], | |
start: t[1] + offset, | |
end: t[2] + offset | |
}; | |
}); | |
return item; | |
}); | |
return out; | |
} | |
function writeOut(file, data) { | |
var out = []; | |
data = data.sort(function(a, b) { | |
return a.f.offset - b.f.offset; | |
}); | |
data.forEach(function(d) { | |
out = out.concat(d.data.sentences); | |
}); | |
fs.writeFile(file + '.transcription.json', JSON.stringify(out), function() { | |
if (data.length > 1) { | |
data.forEach(function(d) { | |
fs.unlink(d.f.name); | |
}); | |
} | |
}); | |
} | |
function transcribe(file, cb) { | |
var out = []; | |
var total = 0; | |
convertToWav(file, function(newFile) { | |
split(newFile, function(files) { | |
total = files.length; | |
files.forEach(function(f) { | |
send_to_watson(f.name, function(data) { | |
var parsed = parse(data, f.offset); | |
out.push({ | |
f: f, | |
data: parsed | |
}); | |
total--; | |
if (total === 0) { | |
writeOut(file, out); | |
} | |
}); | |
}); | |
}); | |
}); | |
} | |
var file = process.argv[2]; | |
transcribe(file); | |
module.exports = transcribe; |
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You need sox & ffmpeg installed for this to work...