azure speech to text phraselistgrammar node js

Azure speech to text phraselistgrammar node js code#
Azure speech to text phraselistgrammar node js windows#

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Azure speech to text phraselistgrammar node js code#

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Azure speech to text phraselistgrammar node js windows#

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Phrase lists are only one option to improve speech recognition accuracy.

Var phraseList = PhraseListGrammar.FromRecognizer(recognizer) A phrase list should not have more than 500 phrases. Any changes to PhraseListGrammar take effect on the next recognition or after a reconnection to the Speech service. Single words or complete phrases can be added to a phrase list.

To use a phrase list, first create a PhraseListGrammar object, then add specific words and phrases with AddPhrase. #2: Correctly recognize industry terms while captioning #1: Correctly recognize names in a call center conversation Our customers use it for call center transcription, live captioning, and voice assistants through Azure Cognitive Services for Speech.īelow are three ways how phrase list can help improve your speech application. This makes phrase list ideal for cases when the audio context is often changing, and a small amount of data goes a long way in improving speech-to-text accuracy. The best part about phrase list is that it is instantaneous and does not require model training: simply add phrases before starting recognition and you’re all set. During recognition, an entry in a phrase list is used to boost recognition of the words and phrases in the list even when the entries appear in the middle of the utterance. This helps improve speech recognition by differentiating similar sounding words and minimizing confusion about words that could be mistaken for others. By providing a list of phrases, you are providing a custom vocabulary unique to your use case.

That is why we created the phrase list feature to help better recognize words and phrases in audio data, like a person's name or a specific location. We use a myriad of unique terms in everyday speech which might not always get transcribed correctly during speech recognition.