“New member reading list”版本间的差异
来自cslt Wiki
（→ASR） |
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| 第29行： | 第29行： | ||
* [http://kaldi.sourceforge.net/about.html Kaldi toolkit] | * [http://kaldi.sourceforge.net/about.html Kaldi toolkit] | ||
* [http://mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf The Application of Hidden Markov Models in Speech Recognition] | * [http://mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf The Application of Hidden Markov Models in Speech Recognition] | ||
| − | + | * [http://www.example.com Edinburgh Course] | |
===TTS=== | ===TTS=== | ||
2017年4月18日 (二) 09:00的版本
目录
[隐藏]Machine Learning
- Deep learning tutotials, LISA lab, University of Montreal
- Introduction to ML, Nils J. Nilsson, Stanford
- Introduction to Machine Learning, Ethem Alpaydın
- Machine Learning course given by Tom Mitchell (1997)
- Machine Learning course given by Tom Mitchell (2011)
- A tutorial from Bengio and Lecun for deep learning (2009)
- A tutorial from Goffery Hinton (2009)
- Practical tricks for deep learning given by Bengio
- A good list for deep learning materials
- A reading list for DL from Bengio's group
- Reading list from Stanford
Speech Processing
General
- Spring Handbook of Speech Processing, Ed. Jacob Benesty, M. Mohan Sondhi, Yiteng Huang
- Spoken Language Processing, X.D. Huang,
- Automatic speech recognition, a deep learning approach. Dong Yu and Deng Li
Acoustics
- Introduction to Digital Signal Processing, Lawrence R. Rabiner and Ronald W. Schafer
- Foundation of acoustics
ASR
TTS
SID
Language Processing
classics book
- Speech and Language Processing
- Foundation of Natural Language Processing
- A full list of resources collected by Stanford
deep learning in nlp
