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Distinctive Feature Detection For Automatic Speech Recognition Jun Hou Prof. Lawrence Rabiner Dr. Sorin Dusan CAIP, ECE Dept., Rutgers University Sep.13,
Audio Retrieval
ASR Intro: Outline ASR Research History Difficulties and Dimensions Core Technology Components 21st century ASR Research (Next two lectures)
Voice Activity Detection (VAD) Problem: Determine if voice is present in a particular audio signal. Issues: loud noise classified as speech and soft speech.
What do people perceive? Determine pitch Also determine location (binaural) Seemingly extract envelope (filters) Also evidence for temporal processing.
1 CS 552/652 Speech Recognition with Hidden Markov Models Spring 2010 Oregon Health & Science University Center for Spoken Language Understanding John-Paul.
Voice Activity Detection (VAD)
EE 225D, Section I: Broad background
