Paper Info
Title
New approach to voiced onset detection in speech signal and its application for frame error concealment
Abstract
This paper presents a new approach for accurate detection of voiced onsets in a speech signal. The knowledge of the precise location of the beginning of a voiced segment has several potential applications in speech compression (e.g. source-controlled variable bitrate coding, classification-based frame erasure concealment). The proposed onset detection algorithm is based on Teager's energy operator applied on sub-bands. The technique has been integrated in the signal classifier of the VMR-WB speech coding standard used for frame erasure (FE) concealment. A subjective listening test using MUSHRA methodology showed an improvement in frame error conditions with respect to the legacy VMR-WB classification.
Year
DOI
Venue
2008
10.1109/ICASSP.2008.4518720
Las Vegas, NV
Keywords
Field
DocType
data compression,speech coding,MUSHRA methodology,Teager energy operator,classification-based frame erasure concealment,frame error concealment,onset detection algorithm,signal classifier,source-controlled variable bitrate coding,speech compression,speech signal,subjective listening test,voiced onset detection,Onset detection,Teager’s energy operator,VMRWB,frame erasure concealment,signal classification
MUSHRA,Speech coding,Pattern recognition,Voice activity detection,Computer science,Speech recognition,Coding (social sciences),Artificial intelligence,Classifier (linguistics),Data compression,Erasure,Variable bitrate
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-1484-0
978-1-4244-1484-0
4
PageRank 
References 
Authors
0.50
2
3
Name
Order
Citations
PageRank
Catherine Lemyre140.50
Milan Jelinek2338.49
Lefebvre, R.39318.55