Free PDF Acoustical and Environmental Robustness in Automatic Speech Recognition (The Springer International Series in Engineering and Computer Science)

[Download PDF.YaBz] Acoustical and Environmental Robustness in Automatic Speech Recognition (The Springer International Series in Engineering and Computer Science)

[Download PDF.YaBz] Acoustical and Environmental Robustness in Automatic Speech Recognition (The Springer International Series in Engineering and Computer Science)

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Book Details :
Published on: 1992-11-30
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Original language: English

The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications. Although the issue of environmental robustness has received only a small fraction of the attention devoted to speaker independence, even speech recognition systems that are designed to be speaker independent frequently perform very poorly when they are tested using a different type of microphone or acoustical environment from the one with which they were trained. The use of microphones other than a "close­ talking" headset also tends to severely degrade speech recognition -performance. Even in relatively quiet office environments, speech is degraded by additive noise from fans, slamming doors, and other conversations, as well as by the effects of unknown linear filtering arising reverberation from surface reflections in a room, or spectral shaping by microphones or the vocal tracts of individual speakers. Speech-recognition systems designed for long-distance telephone lines, or applications deployed in more adverse acoustical environments such as motor vehicles, factory floors, oroutdoors demand far greaterdegrees ofenvironmental robustness. There are several different ways of building acoustical robustness into speech recognition systems. Arrays of microphones can be used to develop a directionally-sensitive system that resists intelference from competing talkers and other noise sources that are spatially separated from the source of the desired speech signal. Machine Learning Group Publications - University of Cambridge Matej Balog Balaji Lakshminarayanan Zoubin Ghahramani Daniel M. Roy and Yee Whye Teh. The Mondrian kernel. In 32nd Conference on Uncertainty in Artificial ... Publications Page - Cambridge Machine Learning Group [ full BibTeX file] 2016. Matej Balog Balaji Lakshminarayanan Zoubin Ghahramani Daniel M. Roy and Yee Whye Teh. The Mondrian kernel. In 32nd Conference on ... Artificial intelligence - Wikipedia Artificial intelligence (AI) is intelligence exhibited by machines. In computer science an ideal "intelligent" machine is a flexible rational agent that perceives ... International Journal of Engineering Research and ... International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research .. Le Live Marseille : aller dans les plus grandes soires ... Retrouvez toutes les discothque Marseille et se retrouver dans les plus grandes soires en discothque Marseille. International Journal of Engineering Research and Applications International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research .. web.mit.edu / jik/src/Attic/kerberos_ password - . .mn 0 01 05_1 1 10 100 10th 11 11_d0003 12 13 14 141a 143b 15 16 17 17igp 18 19 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 ...
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