Performance of speech recognition unit considering morphological pronunciation variation
نویسندگان
چکیده
منابع مشابه
Modeling Pronunciation Variation for Speech Recognition
CERTIFICATE This is to certify that the work contained in this thesis titled Modeling Pronunciation Variation for Speech Recognition submitted by Gopala Krishna Anumanchipalli for the award of the degree of Master of Science (by Research) in Computer Science & Engineering is a bonafide record of research work carried out by him under our supervision. The contents of this thesis, in full or in p...
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The performance of automatic speech recognition systems varies widely across different contexts. Very good performance can be achieved on single-speaker, large-vocabulary dictation in a clean acoustic environment, as well as on very small vocabulary tasks (such as digit recognition) with fewer constraints on the speakers and acoustic conditions. In other domains, such as meeting transcription o...
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Due to the large variability of pronunciation in spontaneous speech, pronunciation modeling becomes a more challenging and essential part in speech recognition. In this paper, we describe two different approaches of pronunciation modeling by using decision tree. At lexical level, a pronunciation variation dictionary is built to obtain alternative pronunciations for each word, in which each entr...
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ژورنال
عنوان ژورنال: Phonetics and Speech Sciences
سال: 2018
ISSN: 2005-8063,2586-5854
DOI: 10.13064/ksss.2018.10.4.111