Pregled bibliografske jedinice broj: 41671
Variable bit-rate LSF coding using Wavelet sub-band decomposition
Variable bit-rate LSF coding using Wavelet sub-band decomposition // Proceedings of IASTED, International Conference on Signal and Image Processing, SIP 2000 / Hamza, M.H. (ur.).
Anaheim : Calgary : Zurich: International Association of Science and Technology for Development (IASTED), 2000. str. 105-109 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 41671 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Variable bit-rate LSF coding using Wavelet sub-band decomposition
Autori
Petrinović, Davor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of IASTED, International Conference on Signal and Image Processing, SIP 2000
/ Hamza, M.H. - Anaheim : Calgary : Zurich : International Association of Science and Technology for Development (IASTED), 2000, 105-109
Skup
IASTED, International Conference on Signal and Image Processing, SIP 2000
Mjesto i datum
Las Vegas (NV), Sjedinjene Američke Države, 20.11.2000. - 23.11.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
speech processing; spectral quantization; inter-frame sub-band coding; adaptive quantization; line spectrum frequencies
Sažetak
Variable bit-rate Wavelet sub-band coding of the Line Spectrum Frequencies (LSF) is presented in this paper. The evolution of the speech power spectrum envelope (PSE) described by the LSF vector sequence is decomposed into several parts, e.g.: very rapid transitions, medium speed transitions and slowly evolving part. All these parts are coded independently, according to the transformed data dependent Weighted Euclidean Distance (WED) measure between the original and the quantized LSF vector. Forward adaptive quantization is realized by employing the dynamic weighting path into the non-uniform filter bank realization of the Discrete Wavelet Transform (DWT). Vectors of the sub-band signals are classified using the nearest neighbor rule, based on the square root weighted sub-band signal magnitudes. Independent vector quantizers are designed for each of the classes and for each of the sub-band signals. Thus the required bit-rate for the speech PSE coding is adapted according to the changing dynamics of the speech signal.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
036024
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Davor Petrinović
(autor)