Limited-Vocabulary Estonian Continuous Speech Recognition System using Hidden Markov Models

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Microsoft Word - Hybridmodel2.dot

Today’s state-of-the-art speech recognition systems typically use continuous density hidden Markov models with mixture of Gaussian distributions. Such speech recognition systems have problems; they require too much memory to run, and are too slow for large vocabulary applications. Two approaches are proposed for the design of compact acoustic models, namely, subspace distribution clustering hid...

Medium vocabulary continuous audio-visual speech recognition

This paper presents our experiments on continuous audiovisual speech recognition. A number of bimodal systems using feature fusion or fusion within Hidden Markov Models are implemented. Experiments with different fusion techniques and their results are presented. Further the performance levels of the bimodal system and a unimodal speech recognizer under noisy conditions are compared.

MAN-MACHINE INTERACTION SYSTEM FOR SUBJECT INDEPENDENT SIGN LANGUAGE RECOGNITION USING FUZZY HIDDEN MARKOV MODEL

Sign language recognition has spawned more and more interest in human–computer interaction society. The major challenge that SLR recognition faces now is developing methods that will scale well with increasing vocabulary size with a limited set of training data for the signer independent application. The automatic SLR based on hidden Markov models (HMMs) is very sensitive to gesture's shape inf...