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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
| Date | Stars |
|---|---|
| 2026-07-24 | 1886 |
| 2026-07-25 | 1886 |
| 2026-07-28 | 1886 |
| 2026-07-30 | 1886 |
| 2026-08-06 | 1886 |
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# Awesome Speaker Diarization [](https://github.com/sindresorhus/awesome) [](https://github.com/wq2012/awesome-diarization/blob/master/CONTRIBUTING.md) ## Table of contents * [Overview](#Overview) * [Publications](#Publications) * [Software](#Software) * [Framework](#Framework) * [Evaluation](#Evaluation) * [Clustering](#Clustering) * [Speaker embedding](#Speaker-embedding) * [Speaker change detection](#Speaker-change-detection) * [Audio feature extraction](#Audio-feature-extraction) * [Audio data augmentation](#Audio-data-augmentation) * [Other sotware](#Other-software) * [Datasets](#Datasets) * [Diarization datasets](#Diarization-datasets) * [Speaker embedding training sets](#Speaker-embedding-training-sets) * [Augmentation noise sources](#Augmentation-noise-sources) * [Conferences](#Conferences) * [Other learning materials](#Other-learning-materials) * [Online courses](#Online-courses) * [Books](#Books) * [Tech blogs](#Tech-blogs) * [Video tutorials](#Video-tutorials) * [Products](#Products) ## Overview This is a curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources. The purpose of this repo is to organize the world’s resources for speaker diarization, and make them universally accessible and useful. To add items to this page, simply send a pull request. ([contributing guide](CONTRIBUTING.md)) ## Publications ### Special topics #### Review & survey papers * [A Review of Speaker Diarization: Recent Advances with Deep Learning](https://arxiv.org/pdf/2101.09624.pdf), 2021 * [A review on speaker diarization systems and approaches](https://www.sciencedirect.com/science/article/abs/pii/S0167639312000696), 2012 * [Speaker diarization: A review of recent research](http://www.eurecom.fr/fr/publication/3152/download/mm-publi-3152.pdf), 2010 #### Large language model (LLM) * [DiarizationLM: Speaker Diarization Post-Processing with Large Language Models](https://arxiv.org/abs/2401.03506), 2024 * [Enhancing Speaker Diarization with Large Language Models: A Contextual Beam Search Approach](https://arxiv.org/abs/2309.05248), 2023 * [Lexical speaker error correction: Leveraging language models for speaker diarization error correction](https://arxiv.org/abs/2306.09313), 2023 #### Supervised diarization * [DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors](https://arxiv.org/abs/2312.04324), 2023 * [TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization](https://arxiv.org/abs/2303.05397), 2023 * [Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis](https://arxiv.org/abs/2211.10243), 2022 * [End-to-End Diarization for Variable Number of Speakers with Local-Global Networks and Discriminative Speaker Embeddings](https://arxiv.org/abs/2105.02096), 2021 * [Supervised online diarization with sample mean loss for multi-domain data](https://arxiv.org/abs/1911.01266), 2019 * [Discriminative Neural Clustering for Speaker Diarisation](https://arxiv.org/abs/1910.09703), 2019 * [End-to-End Neural Speaker Diarization with Permutation-Free Objectives](https://arxiv.org/abs/1909.05952), 2019 * [End-to-End Neural Speaker Diarization with Self-attention](https://arxiv.org/abs/1909.06247), 2019 * [Fully Supervised Speaker Diarization](https://arxiv.org/abs/1810.04719), 2018 #### Joint diarization and ASR * [A Comparative Study on Speaker-attributed Automatic Speech Recognition in Multi-party Meetings](https://arxiv.org/abs/2203.16834), 2022 * [Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection](https://arxiv.org/abs/2109.11641), 2021 * [Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR](https:
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:afdeb199ffb8aac5, topic:awesome, topic:awesome-list, desc:curated list
matched fp:afdeb199ffb8aac5, topic:speech-recognition, readme:speech recognition, desc:speaker diarization