“Advanced member reading list”版本间的差异
来自cslt Wiki
(相同用户的9个中间修订版本未显示) | |||
第12行: | 第12行: | ||
*[http://192.168.0.51:8887/ml/Machine%20learning%20an%20algorithmic%20perspective%282009%29.pdf Machine Learning, an algorithm perspective, Stephen Marsland] | *[http://192.168.0.51:8887/ml/Machine%20learning%20an%20algorithmic%20perspective%282009%29.pdf Machine Learning, an algorithm perspective, Stephen Marsland] | ||
*[http://192.168.0.51:8887/ml/Neural%20Networks%20for%20Pattern%20Recognition.pdf Neural Petworks for Pattern Recognition, Christopher M. Bishop] | *[http://192.168.0.51:8887/ml/Neural%20Networks%20for%20Pattern%20Recognition.pdf Neural Petworks for Pattern Recognition, Christopher M. Bishop] | ||
− | + | *[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://www.deeplearningbook.org/ Deep learning book by Bengio] | ||
==Speech Processing== | ==Speech Processing== | ||
第19行: | 第21行: | ||
* [http://192.168.0.51:8887/speech/Springer%20handbook%20SP.pdf Spring Handbook of Speech Processing, Ed. Jacob Benesty, M. Mohan Sondhi, Yiteng Huang] | * [http://192.168.0.51:8887/speech/Springer%20handbook%20SP.pdf Spring Handbook of Speech Processing, Ed. Jacob Benesty, M. Mohan Sondhi, Yiteng Huang] | ||
* [https://www.lrde.epita.fr/~reda/cours/speech/PH%20Spoken%20Language%20Processing%20-%20A%20Guide%20to%20Theory,%20Algorithm%20and%20System%20Development%20(2001)/ Spoken Language Processing, X.D. Huang, ] | * [https://www.lrde.epita.fr/~reda/cours/speech/PH%20Spoken%20Language%20Processing%20-%20A%20Guide%20to%20Theory,%20Algorithm%20and%20System%20Development%20(2001)/ Spoken Language Processing, X.D. Huang, ] | ||
+ | * [[Reading list from NCMMSC Speech group]] | ||
===Acoustics=== | ===Acoustics=== | ||
* [http://192.168.0.51:8887/speech/Introduction%20to%20Digital%20Speech%20Processing.pdf Introduction to Digital Signal Processing, Lawrence R. Rabiner and Ronald W. Schafer] | * [http://192.168.0.51:8887/speech/Introduction%20to%20Digital%20Speech%20Processing.pdf Introduction to Digital Signal Processing, Lawrence R. Rabiner and Ronald W. Schafer] | ||
* [http://192.168.0.51:8887/speech/acoustics.pdf Foundation of acoustics] | * [http://192.168.0.51:8887/speech/acoustics.pdf Foundation of acoustics] | ||
* [http://192.168.0.51:8887/speech/spring%20topics%20in%20signal%20processing%20-%20microphone%20array%20processing.pdf Spring Topics in Signal Processing, Microphone Array Processing, Benesty, J.; Chen, J.; Huang, Y] | * [http://192.168.0.51:8887/speech/spring%20topics%20in%20signal%20processing%20-%20microphone%20array%20processing.pdf Spring Topics in Signal Processing, Microphone Array Processing, Benesty, J.; Chen, J.; Huang, Y] | ||
+ | *[http://192.168.0.51:8887/speech/signal-and-system.pdf Signal and System] | ||
===ASR=== | ===ASR=== | ||
* [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=== | ||
第32行: | 第36行: | ||
===SID=== | ===SID=== | ||
+ | |||
+ | * [http://192.168.0.51:8887/speech/beigi_fundamentals_of_speaker_recognition_toc_index.pdf Fundamentals of Speaker Recognition,Homayoon Beigi, 2012] | ||
==Language Processing== | ==Language Processing== | ||
第37行: | 第43行: | ||
* [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] | ||
+ | |||
+ | |||
+ | ==Finance Processing== | ||
+ | |||
+ | * [http://192.168.0.51:8887/eco/4771-Applied%20Time%20Series%20Modelling%20and%20Forecasting%5bwww.hejizhan.com%5d.pdf Applied Time Series Modeling and Forecasting] | ||
+ | * [http://192.168.0.51:8887/eco/SSML_David%20Aronson.pdf Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments ] |
2016年6月13日 (一) 13:08的最后版本
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