Shape and gain codewords replacements for incoming Linear Predictive Coded (LPC) vectors are selected by choosing the codeword with minimum distortion between the codeword and a combination of the vector and some of the preceding codewords, exponentially weighted by time.Jeffrey P. Woodard...
必应词典为您提供Itakura-Saito-distance的释义,网络释义: 坂仓斋藤距离;距离;
必应词典,为您提供divergence-of-Itakura-Saito的释义,用法,发音,音标,搭配,同义词,反义词和例句等在线英语服务。
Shape and gain codewords replacements for incoming Linear Predictive Coded (LPC) vectors are selected by choosing the codeword with minimum distortion between the codeword and a combination of the vector and some of the preceding codewords, exponentially weighted by time.JEFFREY P. WOODARD...
In addition, we derive two new algorithms that extend the recently published Itakura-Saito nonnegative matrix factorization to the case of convolutive model for the nonstationary source signals. These formulations are based on the Quasi-EM framework and the Multiplicative Gradient Descent (MGD) rule,...
Jeffrey P. WoodardAcoustical Society of AmericaJournal of the Acoustical Society of AmericaUS5274739 * 1992年4月15日 1993年12月28日 Rockwell International Corporation Product code memory Itakura-Saito (MIS) measure for sound recognitionUS5274739 Apr 15, 1992 Dec 28, 1993 Rockwell International ...
Itakura-Saito nonnegative matrix factorization with group sparsity - Lefevre, Bach, et al. - 2011 () Citation Context ...this work and while the purpose here in performing AMT concurs with that of [5], a different approach to the problem is taken here, using group sparsity. Group sparse...
SPEECH perceptionOn the basis of the information theory of speech perception, a substantiation of the symmetric form of the Itakura-Saito divergence as the minimum decision-making statistics of the asymptotically optimal algorithm for recognition of speech signals at the basic, phonetic level of their...
We propose the novel distortion measure for speech processing by using the gain optimization of the symmetrized Itakura-Saito divergence. This dissimilarity is implemented in a complete algorithm for pronunciation learning and improvement. At its first stage, a user has to achieve a stable ...
In this paper, focusing on the Itakura-Saito distortion measure, we prove that if the Shannon lower bound is not tight, the optimal reconstruction distribution is purely discrete. Combined with the fact that the Shannon lower bound is tight for the gamma source, this result shows that it is ...