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標題: Titlebook: Neural Networks and Speech Processing; David P. Morgan,Christopher L. Scofield Book 1991 Springer Science+Business Media New York 1991 art [打印本頁]

作者: deep-sleep 時間: 2025-3-21 19:42
書目名稱Neural Networks and Speech Processing影響因子(影響力)

書目名稱Neural Networks and Speech Processing影響因子(影響力)學科排名

書目名稱Neural Networks and Speech Processing網(wǎng)絡公開度

書目名稱Neural Networks and Speech Processing網(wǎng)絡公開度學科排名

書目名稱Neural Networks and Speech Processing被引頻次

書目名稱Neural Networks and Speech Processing被引頻次學科排名

書目名稱Neural Networks and Speech Processing年度引用

書目名稱Neural Networks and Speech Processing年度引用學科排名

書目名稱Neural Networks and Speech Processing讀者反饋

書目名稱Neural Networks and Speech Processing讀者反饋學科排名

作者: voluble 時間: 2025-3-21 22:21
Signal Processing and Feature Extraction,ter models of “early” signal processing in mammals. A discussion of artificial neural network applications for conventional signal processing problems follows. The remainder of this chapter discusses how low-level “feature maps” may be created and used in ASR applications.

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Neural Networks and Speech Processing,rofile because it will undoubtedly have the largest economic impact of all the speech technologies. Thus, there has been considerable funding for research in this area, and recently, much of this funding has been directed toward ANN implementations.

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作者: commute 時間: 2025-3-22 18:01
Introduction,understand speech. The goal of this text is to identify and explore that common ground by summarizing the neurobiology of the auditory process, introducing ANNs, identifying current speech recognition techniques, reviewing current applications of ANNs to speech processing, and speculating on the future of ANN speech processing systems.

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David P. Morgan,Christopher L. Scofieldcharides, lipids, etc. and their assembly, although preference to respe- ive subjects may be different among readers who are more interested in their biological significance or industrial and/or medical applications. Nevert- less, characterizing or revealing their secondary structure and dynamics ma

作者: 無禮回復 時間: 2025-3-23 21:57
David P. Morgan,Christopher L. Scofieldcharides, lipids, etc. and their assembly, although preference to respe- ive subjects may be different among readers who are more interested in their biological significance or industrial and/or medical applications. Nevert- less, characterizing or revealing their secondary structure and dynamics ma

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Methods in Neural Network Applications,per spectral and temporal representations of speech, the definition of the fundamental units of speech, the degree of sensitivity of speech units to context, and the syntax and semantics of language. Problems such as ambient noise rejection and sound localization are also important factors in our pe

作者: Peculate 時間: 2025-3-25 00:14
Signal Processing and Feature Extraction,lly-sampled acoustic time series. Several representations of the STFT have been employed for automatic speech recognition, including linear, logarithmic scale, logarithmic mel-scale, cepstral and differenced-cepstral coefficients. However, recent investigations of mammalian auditory processing have

作者: Brittle 時間: 2025-3-25 06:57
Time Alignment and Pattern Matching,cture exists at a number of levels. At the phoneme level, auditory discrimination is dependent upon acoustic information such as formant frequency transitions over time. Within words, temporal structure exists in the form of phonemes and phoneme transitions, called ., which are essential for speech

作者: Control-Group 時間: 2025-3-25 09:44
ANN Keyword Recognition,tween keyword spotting (KWS) and CSR is that CSR operates with a . vocabulary and KWS is an . problem. A closed-set vocabulary restricts the talker to a pre-defined vocabulary, while an open-set vocabulary implies that the talker can say anything. In addition, KWS typically operates with uncooperati

作者: Debrief 時間: 2025-3-25 14:27
Neural Networks and Speech Processing,not well known or are overshadowed by the intense interest in speech-to-text transcription, or automatic speech recognition. ASR research has a high profile because it will undoubtedly have the largest economic impact of all the speech technologies. Thus, there has been considerable funding for rese

作者: 關節(jié)炎 時間: 2025-3-25 16:24
Methods in Neural Network Applications,per spectral and temporal representations of speech, the definition of the fundamental units of speech, the degree of sensitivity of speech units to context, and the syntax and semantics of language. Problems such as ambient noise rejection and sound localization are also important factors in our perception of speech.

作者: PLIC 時間: 2025-3-25 22:01
Natural Language Processing,Computer-based natural language processing is a multi-disciplinary field which is driven by several applications, including:

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The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/n/image/663710.jpg

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https://doi.org/10.1007/978-1-4615-3950-6artificial neural network; cognition; knowledge representation; learning; modeling; natural language proc

作者: 勉強 時間: 2025-3-26 17:41
David P. Morgan,Christopher L. Scofieldds to expand its scope further. This is because these approaches are not always straightforward to characterize fibrous or membrane proteins owing to extreme difficulty in crystallization in the former, and insufficient spectral resolution due to sparing solubility or increased effective molecular m

作者: 死亡 時間: 2025-3-26 23:29
David P. Morgan,Christopher L. Scofieldds to expand its scope further. This is because these approaches are not always straightforward to characterize fibrous or membrane proteins owing to extreme difficulty in crystallization in the former, and insufficient spectral resolution due to sparing solubility or increased effective molecular m

作者: 報復 時間: 2025-3-27 03:28
David P. Morgan,Christopher L. Scofieldds to expand its scope further. This is because these approaches are not always straightforward to characterize fibrous or membrane proteins owing to extreme difficulty in crystallization in the former, and insufficient spectral resolution due to sparing solubility or increased effective molecular m

作者: Pathogen 時間: 2025-3-27 05:43