“Advanced member reading list”版本间的差异
来自cslt Wiki
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| 第14行： | 第14行： | ||
*[http://www.iro.umontreal.ca/~lisa/pointeurs/TR1312.pdf Learning Deep Architectures for AI, Yoshua Bengio] | *[http://www.iro.umontreal.ca/~lisa/pointeurs/TR1312.pdf Learning Deep Architectures for AI, Yoshua Bengio] | ||
*[http://download.springer.com/static/pdf/928/bok%253A978-3-642-35289-8.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fbook%2F10.1007%2F978-3-642-35289-8&token2=exp=1437724236~acl=%2Fstatic%2Fpdf%2F928%2Fbok%25253A978-3-642-35289-8.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Fbook%252F10.1007%252F978-3-642-35289-8*~hmac=8cacd660c8d0f2ec6c2d09dfb6c3dc05f01cda705db0df45c931a779f525eab1 Neural Networks: Tricks of the Trade] | *[http://download.springer.com/static/pdf/928/bok%253A978-3-642-35289-8.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fbook%2F10.1007%2F978-3-642-35289-8&token2=exp=1437724236~acl=%2Fstatic%2Fpdf%2F928%2Fbok%25253A978-3-642-35289-8.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Fbook%252F10.1007%252F978-3-642-35289-8*~hmac=8cacd660c8d0f2ec6c2d09dfb6c3dc05f01cda705db0df45c931a779f525eab1 Neural Networks: Tricks of the Trade] | ||
| − | + | *[http://www.deeplearningbook.org/ Deep learning book by Bengio] | |
==Speech Processing== | ==Speech Processing== | ||
| 第30行： | 第30行： | ||
* [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://ac.els-cdn.com/S0893608014002135/1-s2.0-S0893608014002135-main.pdf?_tid=d1842aa8-d818-11e4-8b9a-00000aacb35e&acdnat=1427856363_c1104db0090b37db2a26e50e8c5c1811 | + | * [http://ac.els-cdn.com/S0893608014002135/1-s2.0-S0893608014002135-main.pdf?_tid=d1842aa8-d818-11e4-8b9a-00000aacb35e&acdnat=1427856363_c1104db0090b37db2a26e50e8c5c1811 Deep learning in neural networks:An overview] |
===TTS=== | ===TTS=== | ||
2016年2月14日 (日) 03:26的版本
目录
Machine Learning
- Deep learning tutotials, LISA lab, University of Montreal
- Deep learning, methods and applications, Li Deng, MS
- Introduction to ML, Nils J. Nilsson, Stanford
- Introduction to Machine Learning, Ethem Alpaydın
- Machine Learning course given by Tom Mitchell
- Neural Networks, A comprehensive foundation, Simon Haykin
- Neumerical optimization, Jorge Nocedal, Stephen J. Wright
- Conjugate Gradient Algorithms in Nonconvex Optimization, Radosaw Pytlak
- Bayesian Reasoning and Machine Learning, David Barber
- Machine Learning, an algorithm perspective, Stephen Marsland
- Neural Petworks for Pattern Recognition, Christopher M. Bishop
- Learning Deep Architectures for AI, Yoshua Bengio
- Neural Networks: Tricks of the Trade
- Deep learning book by Bengio
Speech Processing
General
- Spring Handbook of Speech Processing, Ed. Jacob Benesty, M. Mohan Sondhi, Yiteng Huang
- Spoken Language Processing, X.D. Huang,
- Reading list from NCMMSC Speech group
Acoustics
- Introduction to Digital Signal Processing, Lawrence R. Rabiner and Ronald W. Schafer
- Foundation of acoustics
- Spring Topics in Signal Processing, Microphone Array Processing, Benesty, J.; Chen, J.; Huang, Y
- Signal and System
ASR
- The Application of Hidden Markov Models in Speech Recognition
- Deep learning in neural networks:An overview
TTS
SID
Language Processing
