Title :
New approach to voiced onset detection in speech signal and its application for frame error concealment
Author :
Lemyre, Catherine ; Jelinek, Milan ; Lefebvre, Roch
Author_Institution :
Univ. de Sherbrooke, Sherbrooke, QC
fDate :
March 31 2008-April 4 2008
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.
Keywords :
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; Bit rate; Detection algorithms; Frequency; Iron; Pattern classification; Signal detection; Speech coding; Speech processing; Speech synthesis; Testing; Onset detection; Teager’s energy operator; VMRWB; frame erasure concealment; signal classification;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518720