Automatic speech recognition (ASR) has matured from early statistical frameworks into sophisticated end-to-end neural paradigms. Classical systems employed hidden Markov models (HMMs) coupled with ...
Automatic speech disfluency detection has become a vital component of modern speech processing, with applications ranging from clinical assessment of stuttering to the enhancement of conversational ...
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