“New member reading list”版本间的差异
来自cslt Wiki
（→Language Processing） |
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* [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=== | ||
| 第38行： | 第38行： | ||
===SID=== | ===SID=== | ||
| − | + | *[http://192.168.0.51:8887/speech/Fundamentals%20of%20Speaker%20Recognition%20-%20Homayoon%20Beigi.pdf Fundamentals of Speaker Recognition: Homayoon Beigi] | |
==Language Processing== | ==Language Processing== | ||
| − | === | + | === classical book === |
* [http://192.168.0.51:8887/nlp/speech%20and%20language%20processing-jurafsky_martin.pdf Speech and Language Processing] | * [http://192.168.0.51:8887/nlp/speech%20and%20language%20processing-jurafsky_martin.pdf Speech and Language Processing] | ||
* [http://192.168.0.51:8887/nlp/Foundations%20of%20Statistical%20Natural%20Language%20Processing.pdf Foundation of Natural Language Processing] | * [http://192.168.0.51:8887/nlp/Foundations%20of%20Statistical%20Natural%20Language%20Processing.pdf Foundation of Natural Language Processing] | ||
| 第47行： | 第47行： | ||
=== deep learning in nlp=== | === deep learning in nlp=== | ||
* [http://homes.cs.washington.edu/~yejin/cse599.html Recently paper in deep-nlp] | * [http://homes.cs.washington.edu/~yejin/cse599.html Recently paper in deep-nlp] | ||
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==Finance processing== | ==Finance processing== | ||
2017年7月12日 (三) 07:52的最后版本
目录
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
classical book
- Speech and Language Processing
- Foundation of Natural Language Processing
- A full list of resources collected by Stanford
