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.
![Electronics | Free Full-Text | Speaker Verification Employing Combinations of Self-Attention Mechanisms Electronics | Free Full-Text | Speaker Verification Employing Combinations of Self-Attention Mechanisms](https://www.mdpi.com/electronics/electronics-09-02201/article_deploy/html/images/electronics-09-02201-g001-550.jpg)
Electronics | Free Full-Text | Speaker Verification Employing Combinations of Self-Attention Mechanisms
![Applied Sciences | Free Full-Text | Active Correction for Incremental Speaker Diarization of a Collection with Human in the Loop Applied Sciences | Free Full-Text | Active Correction for Incremental Speaker Diarization of a Collection with Human in the Loop](https://www.mdpi.com/applsci/applsci-12-01782/article_deploy/html/images/applsci-12-01782-g001.png)
Applied Sciences | Free Full-Text | Active Correction for Incremental Speaker Diarization of a Collection with Human in the Loop
![Speech refinement using Bi-LSTM and improved spectral clustering in speaker diarization | Multimedia Tools and Applications Speech refinement using Bi-LSTM and improved spectral clustering in speaker diarization | Multimedia Tools and Applications](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs11042-023-17017-x/MediaObjects/11042_2023_17017_Fig1_HTML.png)
Speech refinement using Bi-LSTM and improved spectral clustering in speaker diarization | Multimedia Tools and Applications
![PDF] LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization | Semantic Scholar PDF] LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/d900a0d828cef4ea7da7082e970a7fd4119f86aa/2-Figure1-1.png)
PDF] LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization | Semantic Scholar
![A new speaker-diarization technology with denoising spectral-LSTM for online automatic multi-dialogue recording | Multimedia Tools and Applications A new speaker-diarization technology with denoising spectral-LSTM for online automatic multi-dialogue recording | Multimedia Tools and Applications](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs11042-023-17283-9/MediaObjects/11042_2023_17283_Fig2_HTML.png)
A new speaker-diarization technology with denoising spectral-LSTM for online automatic multi-dialogue recording | Multimedia Tools and Applications
GitHub - vishalshar/SpeakerDiarization_RNN_CNN_LSTM: Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In
![LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization | Papers With Code LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization | Papers With Code](https://raw.githubusercontent.com/cvqluu/nn-similarity-diarization/master/figures/bilstm_sim_model.png?raw=true)