Continuous density hidden Markov models for speaker‐independent recognition of isolated digits
نویسندگان
چکیده
منابع مشابه
Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words
متن کامل
Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words
متن کامل
speaker independent speech recognition using hidden markov models for persian isolated words
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متن کاملContinuous Density Hidden Markov Model for Hindi Speech Recognition
State of the art automatic speech recognition system uses Mel frequency cepstral coefficients as feature extractor along with Gaussian mixture model for acoustic modeling but there is no standard value to assign number of mixture component in speech recognition process.Current choice of mixture component is arbitrary with little justification. Also the standard set for European languages can no...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1984
ISSN: 0001-4966
DOI: 10.1121/1.2021871