Click here to load reader
Upload
blaze
View
220
Download
0
Embed Size (px)
DESCRIPTION
음성인식 2013.12.02. 김 성 Multimedia DSP LAB. Humor or . 목차. ☞ Endpoint Detection 1. STE 이론 2. ZCR 이론 3. STE-ZCR Endpoint Detection ☞ Pattern Recognition. 이상 음향 감지 / 분류 1 차 분류 : 사람의 음성 / 비음성 2 차 분류 사람의 음성 → ( 공포 , 평상 ) 감성 분류 비음성 신호 → 자동차 충돌소리 , 폭발소리 등. - PowerPoint PPT Presentation
Citation preview
Sound Source Localization
2013.12.02 Multimedia DSP LAB Humor or
Endpoint Detection 1. STE 2. ZCR 3. STE-ZCR Endpoint Detection Pattern Recognition /
1 : / 2 (, ) ,
EDNPOINT DETECTION STE?Short-Time-Energy
(Voiced Speech) (Unvoiced Speech) .
STE
EDNPOINT DETECTION ZCR?Zero-Crossing Rate ZCR ZCR
ZCR
*
25frame25frame Speech interval Endpoint Detection STE-ZCR : 100ms Threshold Maximum magnitude, Minimum magnitude Zero Crossing rate Short time average magnitude filtering average magnitude average magnitude ( ) 25frame zero-crossing rate zero-crossing rate ( )
DAQ.(DTW,HMM.ANN)
ReferencesL. R. RABINER and M. R. SAMBUR, "An Algorithm for Determining the Endpoints of Isolated Utterances", June 10, 1974
G. Saha, Sandipan and Suman Senapati,"A New Silence Removal and Endpoint Detection Algorithm for Speech and Speaker Recognition Applications", Department of Electronics and electrical Communication Engineering Indian Institute of Technology
WWW.NAVER.COM
WWW.GOOGLE.COM
Q&A~