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Merge pull request #381 from makaveli10/add_blog_to_readme

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Add hi transcription video; add blog post section.
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Marcus Edel
2025-06-02 07:54:34 -04:00
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README.md
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<h2 align="center">
<a href="https://www.youtube.com/watch?v=0PHWCApIcCI"><img
src="https://img.youtube.com/vi/0PHWCApIcCI/0.jpg" style="background-color:rgba(0,0,0,0);" height=300 alt="WhisperLive"></a>
<a href="https://www.youtube.com/watch?v=0f5oiG4oPWQ"><img
src="https://img.youtube.com/vi/0f5oiG4oPWQ/0.jpg" style="background-color:rgba(0,0,0,0);" height=300 alt="WhisperLive"></a>
<br><br>A nearly-live implementation of OpenAI's Whisper.
<br><br>
</h2>
@@ -18,6 +20,7 @@ input from microphone and pre-recorded audio files.
- [Browser Extensions](#browser-extensions)
- [Whisper Live Server in Docker](#whisper-live-server-in-docker)
- [Future Work](#future-work)
- [Blog Posts](#blog-posts)
- [Contact](#contact)
- [Citations](#citations)
@@ -153,7 +156,7 @@ client(hls_url="http://as-hls-ww-live.akamaized.net/pool_904/live/ww/bbc_1xtra/b
- TensorRT. Refer to [TensorRT_whisper readme](https://github.com/collabora/WhisperLive/blob/main/TensorRT_whisper.md) for setup and more tensorrt backend configurations.
```bash
docker build . -f docker/Dockerfile.tensorrt -t whisperlive-tensorrt
docker run -p 9090:9090 --runtime=nvidia --gpus all --entrypoint /bin/bash -it whisperlive-tensorrt
docker run -p 9090:9090 --runtime=nvidia --entrypoint /bin/bash -it whisperlive-tensorrt
# Build small.en engine
bash build_whisper_tensorrt.sh /app/TensorRT-LLM-examples small.en # float16
@@ -182,10 +185,16 @@ client(hls_url="http://as-hls-ww-live.akamaized.net/pool_904/live/ww/bbc_1xtra/b
## Future Work
- [ ] Add translation to other languages on top of transcription.
## Blog Posts
- [Transforming speech technology with WhisperLive](https://www.collabora.com/news-and-blog/blog/2024/05/28/transforming-speech-technology-with-whisperlive/)
- [WhisperFusion: Ultra-low latency conversations with an AI chatbot](https://www.collabora.com/news-and-blog/news-and-events/whisperfusion-ultra-low-latency-conversations-with-an-ai-chatbot.html) powered by WhisperLive
- [Breaking language barriers 2.0: Moving closer towards fully reliable, production-ready Hindi ASR](https://www.collabora.com/news-and-blog/news-and-events/breaking-language-barriers-20-moving-closer-production-ready-hindi-asr.html) which is used in WhisperLive for hindi.
## Contact
We are available to help you with both Open Source and proprietary AI projects. You can reach us via the Collabora website or [vineet.suryan@collabora.com](mailto:vineet.suryan@collabora.com) and [marcus.edel@collabora.com](mailto:marcus.edel@collabora.com).
## Citations
```bibtex
@article{Whisper