🚀 Whisper & Pyannote: The Ultimate Combo for Speech Transcription! 🎙️
Combining Whisper (ASR) and Pyannote (diarization) enables accurate and speaker-segmented transcriptions, even locally. 🔥
💡 Applications: meetings, podcasts, sentiment analysis, subtitles...
📖 Read the article: https://scalastic.io/whisper-pyannote-ultimate-speech-transcription/
Have you tried these tools? Share your thoughts! 👇
🚀 Whisper & Pyannote : la combinaison ultime pour la transcription vocale ! 🎙️
Associer Whisper (ASR) et Pyannote (diarisation) permet d’obtenir des transcriptions précises et segmentées par interlocuteur, même en local. 🔥
💡 Applications : réunions, podcasts, analyse des sentiments, sous-titres...
📖 Découvrez l’article : https://scalastic.io/whisper-pyannote-ultimate-speech-transcription/
Avez-vous testé ces outils ? Partagez votre avis ! 👇
Hey random peeps of awesomenss,
I've built and have been using this #colab #notebook to summarize podcasts and have found it helpful. Saves me a few hours of listening to find valuable episodes. I'm opening it up for others to leverage.
Please let me know if you run into any issues or suggestions. First time I'm doing something like this.
🫂 Enjoying #pyannote speaker diarization pipelines?
👥 What if it could do speaker separation as well?
🗣️ Share the word if you want to make it happen!
🥳 We are hiring!
Twice!
2 years research engineer (or postdoc) position in sunny Toulouse, France
https://github.com/pyannote/pyannote-audio/issues/1250
3 years PhD position in sunny Toulon and Toulouse, France
https://github.com/pyannote/pyannote-audio/issues/1252
🎹 pyannote + 🗒 notebook = pyannotebook
pyannotebook is a custom @ProjectJupyter
widget built on top of #pyannote.core and #wavesurferjs.
It can be used to visualize and edit temporal audio labels, without leaving the notebook.
This is a work in progress so feedback and pull requests are welcome!
"How I reached 1st place at Ego4D 2022, 1st place at Albayzin 2022, and 6th place at VoxSRC 2022 speaker diarization challenges" 😎
Short answer: with 🎹#pyannote.audio
Long answer: https://github.com/pyannote/pyannote-audio/blob/develop/tutorials/adapting_pretrained_pipeline.ipynb
