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Merge branch 'develop' into his-to-their-readme

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Louis Grenard 2019-02-20 21:12:30 +08:00 committed by GitHub
commit 4dea7e58d8
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4 changed files with 12 additions and 12 deletions
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12
package-lock.json generated
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@ -10183,14 +10183,14 @@
}
},
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"version": "1.0.5",
"resolved": "https://registry.npmjs.org/npm-bundled/-/npm-bundled-1.0.5.tgz",
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"version": "1.0.6",
"resolved": "https://registry.npmjs.org/npm-bundled/-/npm-bundled-1.0.6.tgz",
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"resolved": "https://registry.npmjs.org/npm-packlist/-/npm-packlist-1.2.0.tgz",
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"version": "1.4.0",
"resolved": "https://registry.npmjs.org/npm-packlist/-/npm-packlist-1.4.0.tgz",
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"requires": {
"ignore-walk": "^3.0.1",
"npm-bundled": "^1.0.1"

2
package.json
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@ -54,7 +54,7 @@
"aws-sdk": "^2.382.0",
"body-parser": "^1.17.2",
"cross-env": "^5.2.0",
"deepspeech": "^0.4.0",
"deepspeech": "^0.4.1",
"dotenv": "^4.0.0",
"execa": "^0.10.0",
"express": "^4.15.3",

4
scripts/setup-offline/setup-stt.js
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@ -12,7 +12,7 @@ export default () => new Promise(async (resolve, reject) => {
const destDeepSpeechFolder = 'bin/deepspeech'
const tmpDir = 'scripts/tmp'
const archiveName = 'deepspeech-0.4.0-models.tar.gz'
const archiveName = 'deepspeech-0.4.1-models.tar.gz'
let downloader = 'wget'
if (os.get().type === 'macos') {
downloader = 'curl -L -O'
@ -21,7 +21,7 @@ export default () => new Promise(async (resolve, reject) => {
if (!fs.existsSync(`${destDeepSpeechFolder}/lm.binary`)) {
try {
log.info('Downloading pre-trained model...')
await shell(`cd ${tmpDir} && ${downloader} https://github.com/mozilla/DeepSpeech/releases/download/v0.4.0/${archiveName}`)
await shell(`cd ${tmpDir} && ${downloader} https://github.com/mozilla/DeepSpeech/releases/download/v0.4.1/${archiveName}`)
log.success('Pre-trained model download done')
log.info('Unpacking...')
await shell(`cd ${tmpDir} && tar xvfz ${archiveName}`)

6
server/src/stt/deepspeech/parser.js
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@ -34,7 +34,7 @@ try {
// Beam width used in the CTC decoder when building candidate transcriptions
const BEAM_WIDTH = 500
// The alpha hyperparameter of the CTC decoder. Language Model weight
const LM_WEIGHT = 1.50
const LM_ALPHA = 0.75
// The beta hyperparameter of the CTC decoder. Word insertion weight (penalty)
// const WORD_COUNT_WEIGHT = 1.00;
/**
@ -42,7 +42,7 @@ const LM_WEIGHT = 1.50
* This is used to lessen the word insertion penalty
* When the inserted word is part of the vocabulary
*/
const VALID_WORD_COUNT_WEIGHT = 2.10
const LM_BETA = 1.85
/**
* These constants are tied to the shape of the graph used (changing them changes
@ -115,7 +115,7 @@ parser.init = (args) => {
/* istanbul ignore if */
if (process.env.LEON_NODE_ENV !== 'testing') {
model.enableDecoderWithLM(args.alphabet, args.lm, args.trie,
LM_WEIGHT, VALID_WORD_COUNT_WEIGHT)
LM_ALPHA, LM_BETA)
}
log.success('Language model loaded')