Paper Info
Title
A robust speech/music discriminator for switched audio coding
Abstract
Switching between speech coding and generic audio coding schemes was recently proven to be very efficient for coding a large range of audio materials at low bit-rates. However, it strongly relies on a robust classification of the input signal. The aim of the paper is to design a reliable speech and music discriminator (SMD) for such an application. Main attention was laid on getting a good tradeoff between accuracy, reactivity and stability of the decision while keeping the delay and complexity reasonably low. To this end, short-term and long-term features are dissociated before being conveyed to two different classifiers. The two classifier outputs are combined in a final decision using a hysteresis. Objective measures show that a more reliable switching decision is achievable. The SMD was successfully implemented in MPEG Unified Speech and Audio Coding (USAC). It allows the codec to show unprecedented audio quality.
Year
Venue
Keywords
2015
European Signal Processing Conference
Speech and Music-Discrimination,Speech Coding,Audio Coding
Field
DocType
ISSN
Speech coding,Extended Adaptive Multi-Rate – Wideband,Voice activity detection,Computer science,Audio mining,Adaptive Multi-Rate audio codec,Speech recognition,Sub-band coding,Linear predictive coding,Acoustic model
Conference
2076-1465
Citations 
PageRank 
References 
3
0.40
6
Authors
1
Name
Order
Citations
PageRank
Guillaume Fuchs1387.84