Speech production knowledge in automatic speech recognition

Speech production knowledge in automatic speech recognition.

Although much is known about how speech is produced, and research into speech production has resulted in measured articulatory data, feature systems of different kinds, and numerous models, speech production knowledge is almost totally ignored in current mainstream approaches to automatic speech recognition. Representations of speech production allow simple explanations for many phenomena obser...

Using Articulatory Knowledge in Automatic Speech Recognition

Over the years different types of speech recognizers have been proposed and tested. During the last decade (or maybe even longer) hidden Markov models (HMMs) seem to have a better performance than other types of speech recognizers, like e.g. rule-based speech recognizers. This state of affairs has led to a gap between speech technology on the one hand, and phonetics and phonology on the other. ...

Prosodic knowledge sources for automatic speech recognition

In this work, different prosodic knowledge sources are integrated into a state-of-the-art large vocabulary speech recognition system. Prosody manifests itself on different levels in the speech signal: within the words as a change in phone durations and pitch, inbetween the words as a variation in the pause length, and beyond the words, correlating with higher linguistic structures and nonlexica...

A Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation

Abstract   Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...

Automatic speech recognition