Speech Processing

Some Handouts are Listed Below:

• Introduction

• Spoken Language Structure

• Mathematical Foundations

• Hidden Markov Models

• Language Modeling

• Acoustic Modeling

• End-to-end Automatic Speech Recogntion

• Speaker Diarization

• Search Algorithms

• Speech Signal Analysis

• Robustness

• Large Vocabulary Continuous Speech Recognition (Old Days' Approaches)

References:

• L. Rabiner, R. Schafer, Theory and Applications of Digital Speech Processing, Pearson, 2011  

• X. Huang, A. Acero, H. Hon, Spoken Language Processing: A Guide to Theory, Algorithm and System Development, Prentice Hall, 2001

• Dong Yu and Li Deng, "Automatic Speech Recognition: A Deep Learning Approach,"  Springer, 2015 

• L. Rabiner, B.H. Juang, “Fundamentals of Speech Recognition”, Prentice Hall, 1993

• M.J.F. Gales and S.J. Young. The Application of Hidden Markov Models in Speech Recognition. Foundations and Trends in Signal Processing, 2008

• L. Rabiner and R.W. Schafer. Introduction to Digital Speech Processing. Foundations and Trends in Signal Processing, 2007