Titlebook: Automatic Speech Analysis and Recognition; Proceedings of the N Jean-Paul Haton Conference proceedings 1982 D. Reidel Publishing Company, D

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书目名称Automatic Speech Analysis and Recognition影响因子(影响力)




书目名称Automatic Speech Analysis and Recognition影响因子(影响力)学科排名




书目名称Automatic Speech Analysis and Recognition网络公开度




书目名称Automatic Speech Analysis and Recognition网络公开度学科排名




书目名称Automatic Speech Analysis and Recognition被引频次




书目名称Automatic Speech Analysis and Recognition被引频次学科排名




书目名称Automatic Speech Analysis and Recognition年度引用




书目名称Automatic Speech Analysis and Recognition年度引用学科排名




书目名称Automatic Speech Analysis and Recognition读者反馈




书目名称Automatic Speech Analysis and Recognition读者反馈学科排名

蛤肉

Medium and Low Bit Rate Speech Transmissionedictive coders at 16 kb/s, baseband coders at 9.6 kb/s, linear predictive coders at 1.5–2.4 kb/s, clustering vocoders at 600–800 b/s, and diphone-based phonetic vocoders at 100 b/s. For each type of coders, we describe the coder configuration, discuss the important coding issues, and present the re

旋转一周

无情

Acoustic-Phonetic Decoding and Adaptation in Continuous Speech Recognitionpart is devoted to a general discussion of speech processing, feature extraction, units of recognition, coarticulation, segmentation, recognition strategies, training, normalization and speaker adaptation (chapter 2 to 9). In the second part, we describe how these early stages of analysis are perfor

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工作

Phonemic Recognition by Linear Prediction: Experiences at ENSTment of new methodologies in signal analysis, ans especially in speech. The idea underlying these methods considers the vocal system as a filter belonging to a certain family parametric. According to this approach, the analysis of speech signals within this established mathematical framework enables

CRUMB

Acoustic-Phonetic Analysis Based on an Articulatory Modelpeaker independence and the need for a relatively large vocabulary..MOSES is a speech recognition research project aimed at the development and study of the procedures required for the above-mentioned application in an overall system. Essential prerequisites for this are a flexible and modular syste

defray

The Efficiency of Demisyllable Segmentation in the Recognition of Spoken Wordsry of 1000 words. In each system the preprocessing is carried out by a special loudness analyzer which yields 22 specific loudness functions. The first system avoids any segmentation and the total word pattern is time normalized to a constant length. In the second system syllable nuclei are detected

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刺耳的声音

An Algorithm for Connected Word Recognition words are described. The results of preliminary experiments are included, using just one utterance to derive the reference pattern for each of the vocabulary words. Some extensions and limitations of the technique are discussed.