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Fix link in README.md

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Jim O’Regan
2024-01-17 16:58:20 +01:00
committed by Barabazs
parent a898b3ba94
commit 9809336db6
1 changed files with 2 additions and 2 deletions
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@ -216,7 +216,7 @@ To reduce GPU memory requirements, try any of the following (2. & 3. can affect
Transcription differences from openai's whisper: Transcription differences from openai's whisper:
1. Transcription without timestamps. To enable single pass batching, whisper inference is performed `--without_timestamps True`, this ensures 1 forward pass per sample in the batch. However, this can cause discrepancies the default whisper output. 1. Transcription without timestamps. To enable single pass batching, whisper inference is performed `--without_timestamps True`, this ensures 1 forward pass per sample in the batch. However, this can cause discrepancies the default whisper output.
2. VAD-based segment transcription, unlike the buffered transcription of openai's. In Wthe WhisperX paper we show this reduces WER, and enables accurate batched inference 2. VAD-based segment transcription, unlike the buffered transcription of openai's. In the WhisperX paper we show this reduces WER, and enables accurate batched inference
3. `--condition_on_prev_text` is set to `False` by default (reduces hallucination) 3. `--condition_on_prev_text` is set to `False` by default (reduces hallucination)
<h2 align="left" id="limitations">Limitations ⚠️</h2> <h2 align="left" id="limitations">Limitations ⚠️</h2>
@ -281,7 +281,7 @@ Borrows important alignment code from [PyTorch tutorial on forced alignment](htt
And uses the wonderful pyannote VAD / Diarization https://github.com/pyannote/pyannote-audio And uses the wonderful pyannote VAD / Diarization https://github.com/pyannote/pyannote-audio
Valuable VAD & Diarization Models from [pyannote audio][https://github.com/pyannote/pyannote-audio] Valuable VAD & Diarization Models from [pyannote audio](https://github.com/pyannote/pyannote-audio)
Great backend from [faster-whisper](https://github.com/guillaumekln/faster-whisper) and [CTranslate2](https://github.com/OpenNMT/CTranslate2) Great backend from [faster-whisper](https://github.com/guillaumekln/faster-whisper) and [CTranslate2](https://github.com/OpenNMT/CTranslate2)