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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.
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
| Date | Stars |
|---|---|
| 2026-07-24 | 3125 |
| 2026-07-25 | 3126 |
| 2026-07-28 | 3126 |
| 2026-07-30 | 3126 |
| 2026-07-31 | 3125 |
| 2026-08-06 | 3125 |
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# awesome-speech-recognition-speech-synthesis-papers ## Paper List - [Text-to-Audio](#Text-to-Audio) - [Automatic Speech Recognition(ASR)](#Automatic-Speech-Recognition) - [Speaker Verification](#Speaker-Verification) - [Voice Conversion(VC)](#Voice-Conversion) - [Speech Synthesis(TTS)](#Speech-Synthesis) - [Language Modelling](#Language-Modelling) - [Confidence Estimates](#Confidence-Estimates) - [Music Modelling](#Music-Modelling) - [Interesting papers](#Interesting-papers) ### Text to Audio - **AudioLM: a Language Modeling Approach to Audio Generation**(2022), Zalán Borsos et al. [[pdf]](https://arxiv.org/pdf/2209.03143) - **AudioLDM: Text-to-Audio Generation with Latent Diffusion Models**(2023), Haohe Liu et al. [[pdf]](https://arxiv.org/pdf/2301.12503) - **MusicLM: Generating Music From Text**(2023), Andrea Agostinelli et al. [[pdf]](https://arxiv.org/pdf/2301.11325) - **Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion**(2023), Flavio Schneider et al. [[pdf]](https://arxiv.org/pdf/2301.11757) - **Noise2Music: Text-conditioned Music Generation with Diffusion Models**(2023), Qingqing Huang et al. [[pdf]](https://arxiv.org/pdf/2302.03917) ### Automatic Speech Recognition - **An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition**(1982), S. E. LEVINSON et al. [[pdf]](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6768244) - **A Maximum Likelihood Approach to Continuous Speech Recognition**(1983), LALIT R. BAHL et al. [[pdf]](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4767370&tag=1) - **Heterogeneous Acoustic Measurements and Multiple Classifiers for Speech Recognition**(1986), Andrew K. Halberstadt. [[pdf]](https://groups.csail.mit.edu/sls/publications/1998/phdthesis-drew.pdf) - **Maximum Mutual Information Estimation of Hidden Markov Model Parameters for Speech Recognition**(1986), Lalit R. Bahi et al. [[pdf]](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1169179) - **A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition**(1989), Lawrence R Rabiner. [[pdf]](https://pdfs.semanticscholar.org/fb04/6159dfb4a2beb95756fe1116056a6d922565.pdf?\_ga=2.37020706.362861000.1494045851-921183529.1494045851) - **Phoneme recognition using time-delay neural networks**(1989), Alexander H. Waibel et al. [[pdf]](https://pdfs.semanticscholar.org/b554/da42487697cb0d01a4146858e966c1d2404f.pdf?\_ga=2.97032540.235965811.1494658719-1308334183.1494658711) - **Speaker-independent phone recognition using hidden Markov models**(1989), Kai-Fu Lee et al. [[pdf]](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2768&context=compsci) - **Hidden Markov Models for Speech Recognition**(1991), B. H. Juang et al. [[pdf]](http://www.jstor.org/stable/1268779) - **Review of Tdnn (time Delay Neural Network) Architectures for Speech Recognition**(2014), Masahide Sugiyamat et al. [[pdf]](https://pdfs.semanticscholar.org/073b/6128f04fe4b88b88ae297615af289c308753.pdf?\_ga=2.103860032.1725061846.1494658711-1308334183.1494658711) - **Connectionist Speech Recognition: A Hybrid Approach**(1994), Herve Bourlard et al. [[pdf]](https://www.researchgate.net/profile/Herve\_Bourlard/publication/230875873\_Connectionist\_Speech\_Recognition\_A\_Hybrid\_Approach/links/0deec5149eb889b8c7000000/Connectionist-Speech-Recognition-A-Hybrid-Approach.pdf) - **A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER)**(1997), J.G. Fiscus. [[pdf]](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=659110) - **Speech recognition with weighted finite-state transducers**(2001), M Mohri et al. [[pdf]](https://cs.nyu.edu/~mohri/pub/hbka.pdf) - **Framewise phoneme classification with bidirectional LSTM and other neural network architectures**(2005), Alex Graves et al. [[pdf]](https://pdfs.semanticscholar.org/83d6/1d9b71a838aa150d7ef232dc6d4c73e24250.pdf?\_ga=1.187838
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wesinger · China
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MakerJackie · Hong Kong
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obsidian
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Jon Goldsmith · United States
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Aleco Kastanos · United Kingdom
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e0c4237e79740f1b, topic:speech-recognition, topic:tts, topic:speech-synthesis