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Large Vocabulary Hardware-based Speech Recognition

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dc.contributor.advisor Dougherty, John P.
dc.contributor.author Shibulal, Shreyas
dc.date.accessioned 2015-07-24T14:55:50Z
dc.date.available 2015-07-24T14:55:50Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/10066/16580
dc.description.abstract To achieve improved real-time performance, hardware-based speech recognition systems have emerged in recent years. While past efforts have demonstrated drastic improvements over software-based speech recognition systems, the tradeoffs between vocabulary size and performance remain. This work reviews several approaches to hardware-based speech recognition and discusses in detail the manner in which information pertaining to vocabulary is stored, accessed and used in speech recognition. Furthermore, we investigate the connections among speed, accuracy, robustness and the implementation selected for a large vocabulary speech recognition system in hardware.
dc.description.sponsorship Haverford College. Department of Computer Science
dc.language.iso eng
dc.rights.uri http://creativecommons.org/licenses/by-nc/3.0/us/
dc.subject.lcsh Automatic speech recognition
dc.subject.lcsh Speech processing systems
dc.subject.lcsh Computer input-output equipment
dc.title Large Vocabulary Hardware-based Speech Recognition
dc.type Thesis
dc.rights.access Open Access


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http://creativecommons.org/licenses/by-nc/3.0/us/ Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc/3.0/us/

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