Efficient vector quantization of speech spectral parameters [articol]

dc.contributor.author	Balint, Cornel
dc.date.accessioned	2021-07-13T08:29:34Z
dc.date.available	2021-07-13T08:29:34Z
dc.date.issued	2004
dc.identifier.citation	Balint, Cornel. Efficient vector quantization of speech spectral parameters. Timişoara: Editura Politehnica, 2004	en_US
dc.identifier.uri	http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Efficient%20vector%20quantization%20of%20speech%20spectral%20parameters&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.sponsorship	Most low bit rate speech coders employ linear predictive coding (LPC) which models the short-term spectral information within each speech frame as an all-pole filter. In this paper, we examine various methods in order to efficiently encode spectral parameters. Two efficient methods for LSF coding are proposed, that exploit the interframe correlation exiting between LSF parameters. Using vector predictive coding techniques, transparent coding quality was obtained at 24 – 26 bit/frame.	en_US
dc.language.iso	en	en_US
dc.publisher	Timişoara: Editura Politehnica	en_US
dc.relation.ispartofseries	Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 1 (2004), p. 283-286
dc.subject	Speech coding	en_US
dc.subject	LSF	en_US
dc.subject	Vector coding	en_US
dc.subject	Predictive coding	en_US
dc.title	Efficient vector quantization of speech spectral parameters [articol]	en_US
dc.type	Article	en_US