“New member reading list”版本间的差异

2015年7月10日 (五) 02:11的版本

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)

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

ASR

• Kaldi toolkit
• The Application of Hidden Markov Models in Speech Recognition

TTS

• A simple tutorial HMM-based TTS from Prof. Simon King

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

• recently paper in deep-nlp[1]

Finance processing

• Some teaching material of Websim