![Comparing state-of-the-art speaker diarization frameworks : Pyannote vs Nemo | by La Javaness R&D | Medium Comparing state-of-the-art speaker diarization frameworks : Pyannote vs Nemo | by La Javaness R&D | Medium](https://miro.medium.com/v2/resize:fit:1400/1*wbM45TRi_rKb2_8YFVTX-A.png)
Comparing state-of-the-art speaker diarization frameworks : Pyannote vs Nemo | by La Javaness R&D | Medium
![GitHub - google/uis-rnn: This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization. GitHub - google/uis-rnn: This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.](https://raw.githubusercontent.com/google/uis-rnn/master/resources/uisrnn.gif)
GitHub - google/uis-rnn: This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
GitHub - tango4j/Python-Speaker-Diarization: Python3 code for the IEEE SPL paper "Auto-Tuning Spectral Clustering for SpeakerDiarization Using Normalized Maximum Eigengap"
GitHub - cadia-lvl/kaldi-speaker-diarization: This repository creates speaker diarization recipes to be used within the egs folder of kaldi.
![How to Run Speaker Diarization Recipe using SpeechBrain | A PyTorch Powered Speech Toolkit - YouTube How to Run Speaker Diarization Recipe using SpeechBrain | A PyTorch Powered Speech Toolkit - YouTube](https://i.ytimg.com/vi/aFaihrAVLRI/mqdefault.jpg)
How to Run Speaker Diarization Recipe using SpeechBrain | A PyTorch Powered Speech Toolkit - YouTube
GitHub - Jamiroquai88/VBDiarization: Speaker diarization based on Kaldi x-vectors, tuned for 16k microphone data
GitHub - pyannote/pyannote-audio: Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
GitHub - pyannote/pyannote-audio: Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
![Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language Detection Models - Deepgram Blog ⚡️ | Deepgram Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language Detection Models - Deepgram Blog ⚡️ | Deepgram](https://www.datocms-assets.com/96965/1686092290-2305-deepgram-diarization-language-detection-v2-blog-2x.png)
Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language Detection Models - Deepgram Blog ⚡️ | Deepgram
Felix on X: "walk through of building and training a GPT-style model that tags the currently active speaker in a multi speaker audio recording (speaker diarisation). the github repo in the next
![Speaker diarization — OpenVINO™ documentationCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to ... Speaker diarization — OpenVINO™ documentationCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to ...](https://developer-blogs.nvidia.com/wp-content/uploads/2022/09/speaker-diarization.png)