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ElevenLabs shares methods to improve AI speech to text accuracy
The company details how audio input quality and specific prompting techniques affect transcription performance in Scribe v2.
Summary
ElevenLabs released a guide on improving transcription accuracy for its Scribe v2 model. The company notes that results depend on audio quality, speaker dynamics, and vocabulary. Teams can improve outputs by optimizing recording setups and using specific prompting techniques.
What changed
- Record audio at 16 kHz or higher using lossless formats like FLAC or PCM WAV.
- Place microphones four to six inches from the speaker to improve clarity.
- Use voice isolation algorithms or neural models to filter background noise.
- Apply keyterm prompting to bias the model toward specific spellings and jargon.
- Use word error rate (WER) to benchmark model performance across different tests.
Availability
Available now“ElevenAPI gives you access to Scribe v2 , ElevenLabs’ speech to text model, along with features that address the accuracy problems in this guide”
Founder takeaway
Test your current transcription pipeline by comparing WER across samples and applying preprocessing steps like voice isolation and keyterm prompting.
Source
Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.
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