Improved speech quality and efficient vector quantization in SELP

Kleijn, W. Bastiaan; Krasinski, D. J.; Ketchum, R. H.

doi:10.1109/icassp.1988.196536

Cited by 87 publications

(17 citation statements)

References 11 publications

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“…1 das amostras de cada vetor-codigo [8], [15], [14]. 0 valor es colhido para N«: corresponde a uma percentagem de 12,5%.…”

Section: Testes E Resultadosunclassified

Dicionário Estocástico Multipulso para Codificadores CELP

Silva¹,

Alcaim²

1998

Journal of Communication and Information Systems

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Resumo -Este artigo apresenta uma nova tecnica de projeto de dicionarios de vetores esparsos para codificadores CELP (Code Excited Linear Prediction), baseada no esquema de ex citacao multipulso e no algoritmo LBG (Linde-Buzo-Gray) de treinamento. 0 dicionario resultante -denorninado multi pulso ou, simplesmente, :MP-possui as vantagens inerentes aos dicionarios esparsos convencionais. Seu grande merito e ter ainda a vantagem de poder ser otimizado atraves de urn procedimento de treinamento. Atraves de simulacoes, 0 di cionario :MP foi comparado com os dicionarios gaussiano e "vector-sum" (VS). Os resultados mostraram que, dentre os tres tipos de dicionario testados, 0 dicionario :MP e0 que tern melhor desempenho em termos da qualidade da voz codifi cada. Neste artigo, sao apresentadas tambem comparacoes quanta acomplexidade associada aos tres dicionarios, Abstract -This paper presents a new algorithm to design co debooks of sparse vectors for code excited linear prediction (CELP) speech encoders. The algorithm is based on multi pulse excitations and on the LBG codebook training algo rithm. The codebooks, which are referred to as multi pulse (:MP) codebooks, have the inherent advantages of sparse co debooks. Moreover, they can be optimized by a closed-loop training procedure. We present a comparative analysis of the:MP codebook with vector-sum (VS) and Gaussian code books. Simulation results show that the :MP codebook yields the best performance in terms of speech quality. Complexities of these codebooks are also compared.Palavras chaves -Codificacao de Voz, CELP, Otimizacao de Dicionario.

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“…1 das amostras de cada vetor-codigo [8], [15], [14]. 0 valor es colhido para N«: corresponde a uma percentagem de 12,5%.…”

Section: Testes E Resultadosunclassified

Dicionário Estocástico Multipulso para Codificadores CELP

Silva¹,

Alcaim²

1998

Journal of Communication and Information Systems

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“…By this, characteristics intermediate between tilt compensation by the conventional first-order all-zero filter and tilt compensation by the first-order all-pole filter proposed in Ref. 20 can be obtained.…”

Section: Tilt Compensation Of the Postfilter In The Mel-cepstral Domainmentioning

confidence: 96%

“…(25). It has been proposed that a fixed value [19] or a first-order term k 1 of a reflection coefficient [20] be used for the coefficient P. The tilt compensation of the latter has a high-pass characteristic when the formant postfilter has a low-pass effect, and has a low-pass characteristic when the formant postfilter has a high-pass effect, and can control the slope correspondingly to the magnitude of the slope of the formant postfilter. The authors have proposed in Ref.…”

Section: Tilt Compensation Of the Postfilter In The Mel-cepstral Domainmentioning

confidence: 99%

CELP speech coding based on mel-generalized cepstral analyses

Tokuda

Kobayashi

Imai

2000

Electron. Comm. Jpn. Pt. III

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“…The generalized long-term predictor in Fig. 1 can be either a finite impulse response (FIR) filter or the so-called "adaptive codebook" as proposed in [9]. The longterm synthesis filter and the short-term synthesis filter usually have an all-pole filter structure as shown in Fig.…”

Section: Overview Of the Proposed Plc Algorithmmentioning

confidence: 99%

Packet Loss Concealment for Predictive Speech Coding Based on Extrapolation of Speech Waveform

Chen

2007

2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers

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Most Packet Loss Concealment (PLC) algorithms for predictive speech coders are based on extrapolating the excitation signal. This paper presents an alternative algorithm that extrapolates the speech waveform directly. The algorithm avoids the additional delay associated with the overlap-add operation in the ITU-T G.711 Appendix I by utilizing the "ringing" of the synthesis filter. It also performs special operations to update the filter states to prepare the predictive decoder for the next good frame. This algorithm achieves robust PLC performance when applied to the BroadVoice® standard coders. It can also be applied to other predictive speech coders.

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Improved speech quality and efficient vector quantization in SELP

Cited by 87 publications

References 11 publications

Dicionário Estocástico Multipulso para Codificadores CELP

Dicionário Estocástico Multipulso para Codificadores CELP

CELP speech coding based on mel-generalized cepstral analyses

Packet Loss Concealment for Predictive Speech Coding Based on Extrapolation of Speech Waveform

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