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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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發(fā)表于 2025-3-21 16:11:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Automatic Speech Analysis and Recognition
期刊簡(jiǎn)稱Proceedings of the N
影響因子2023Jean-Paul Haton
視頻videohttp://file.papertrans.cn/167/166446/166446.mp4
學(xué)科分類Nato Science Series C:
圖書封面Titlebook: Automatic Speech Analysis and Recognition; Proceedings of the N Jean-Paul Haton Conference proceedings 1982 D. Reidel Publishing Company, D
影響因子This book is the result of the second NATO Advanced Study Institute on speech processing held at the Chateau de Bonas, France, from June 29th to July 10th, 1981. This Institute provided a high-level coverage of the fields of speech transmission, recognition and understanding, which constitute important areas where research activity has re- cently been associated with actual industrial developments. This book will therefore include both fundamental and applied topics. Ten survey papers by some of the best specialists in the field are included. They give an up-to-date presentation of several important problems in automatic speech processing. As a consequence the book can be considered as a reference manual on some important areas of automatic speech processing. The surveys are indicated by ‘a(chǎn) * in the table of contents. This book also contains research papers corresponding to original works, which were presented during the panel sessions of the Institute. For the sake of clarity the book has been divided into five sections : 1. Speech Analysis and Transmission: An emphasis has been laid on the techniques of linear prediction (LPC), and the problems involved in the transmission of spe
Pindex Conference proceedings 1982
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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
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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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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
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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
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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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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.
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