terry-yip/speech-to-text
Speaker diarization and speech to text
This project helps you transcribe audio recordings by identifying who spoke when, and converting their speech into text. You provide a standard WAV audio file, and it outputs a text file containing the dialogue, attributed to specific speakers. It's designed for anyone needing to create written records from audio, such as researchers analyzing interviews or content creators transcribing podcasts.
No commits in the last 6 months.
Use this if you need to quickly get a text transcript of an audio recording, clearly separating and labeling different speakers.
Not ideal if you require extremely high accuracy for challenging audio with significant background noise, as the output quality may vary.
Stars
14
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 17, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/terry-yip/speech-to-text"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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