Application of artificial neural network techniques to low bit-rate speech coding


Autoria(s): Kaouri, H.A.; McCanny, J.V.
Data(s)

01/01/1989

Resumo

Research has been undertaken to investigate the use of artificial neural network (ANN) techniques to improve the performance of a low bit-rate vector transform coder. Considerable improvements in the perceptual quality of the coded speech have been obtained. New ANN-based methods for vector quantiser (VQ) design and for the adaptive updating of VQ codebook are introduced for use in speech coding applications.

Identificador

http://pure.qub.ac.uk/portal/en/publications/application-of-artificial-neural-network-techniques-to-low-bitrate-speech-coding(4f28860c-0baa-4049-992f-08ecde3ff607).html

http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-0024945707&md5=b39f01e336a7fe3350651ff9a64d23fb

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Kaouri , H A & McCanny , J V 1989 , ' Application of artificial neural network techniques to low bit-rate speech coding ' IEE Conference Publication , no. 313 , pp. 100-104 .

Tipo

article