<p>Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition para
Automatic Speech Recognition
✍ Scribed by Renals Steve, King Simon.
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✦ Synopsis
In William J. Hardcastle, John Laver, and Fiona E. Gibbon, editors, Handbook of Phonetic Sciences, chapter 22 (Wiley Blackwell, 2010, ISBN: 978-1-4051-4590-9) — on pp. 804—838.
Speech recognition—the transcription of an acoustic speech signal into a string of words—is a hard problem owing to several cumulative sources of variation. Specifying the units of speech, such as phonemes, words, or syllables, is not straightforward and, whatever units are chosen, identifying the boundaries between them is challenging. Furthermore the relation between the acoustic speech signal and a symbolic sequence of units is complex due to phenomena such as varying rates of speech, context-dependences such as coarticulation, and prosodic effects.✦ Subjects
Языки и языкознание;Лингвистика;Коммуникативная лингвистика
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