Audio-visual speaker identification using coupled 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

Employing Second-Order Circular Suprasegmental Hidden Markov Models to Enhance Speaker Identification Performance in Shouted Talking Environments

Speaker identification performance is almost perfect in neutral talking environments. However, the performance is deteriorated significantly in shouted talking environments. This work is devoted to proposing, implementing, and evaluating new models called Second-Order Circular Suprasegmental Hidden Markov Models (CSPHMM2s) to alleviate the deteriorated performance in the shouted talking environ...

Bimodal speech recognition using coupled hidden Markov models

In this paper we present a bimodal speech recognition system in which the audio and visual modalities are modeled and integrated using coupled hidden Markov models (CHMMs). CHMMs are probabilistic inference graphs that have hidden Markov models as sub-graphs. Chains in the corresponding inference graph are coupled through matrices of conditional probabilities modeling temporal influences betwee...

Audio-Visual Speaker Veri cation using Continuous Fused HMMs

This paper examines audio-visual speaker veri cation using a novel adaptation of fused hidden Markov models, in comparison to output fusion of individual classi ers in the audio and video modalities. A comparison of both hidden Markov model (HMM) and Gaussian mixture model (GMM) classi ers in both modalities under output fusion shows that the choice of audio classi er is more important than vid...