“Advanced member reading list”版本间的差异
来自cslt Wiki
| 第23行： | 第23行： | ||
* [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=== | ||
2015年4月11日 (六) 13:33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
Speech Processing
General
- Spring Handbook of Speech Processing, Ed. Jacob Benesty, M. Mohan Sondhi, Yiteng Huang
- Spoken Language Processing, X.D. Huang,
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
- Deeplearninginneuralnetworks:Anoverview
