Md Foezur Rahman Chowdhury

A Rapid Adaptation Algorithm for Tracking Highly Non-Stationary Noises based on Bayesian Inference for On-Line Spectral Change Point Detection

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2011, INTERSPEECH.

Real-Time Bayesian Inference: A Soft Computing Approach to Environmental Learning for On-Line Robust Automatic Speech Recognition

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2011, SOCO.

A highly non-stationary noise tracking and compensation algorithm, with applications to speech enhancement and on-line ASR

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Text-independent distributed speaker identification and verification using GMM-UBM speaker models for mobile communications

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

A soft computing approach to improve the robustness of on-line ASR in previously unseen highly non-stationary acoustic environments

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Bayesian on-line spectral change point detection: a soft computing approach for on-line ASR

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2011, International Journal of Speech Technology.

Frame recursive dynamic mean bias removal technique for robust environment-aware speech recognition in real world applications

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2010, CCECE 2010.

Distributed automatic text-independent speaker identification using GMM-UBM speaker models

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2009, 2009 Canadian Conference on Electrical and Computer Engineering.

A study on bias-based speech signal conditioning techniques for improving the robustness of automatic speech recognition

Douglas D. O'Shaughnessy, Sid-Ahmed Selouani, Md Foezur Rahman Chowdhury, 2009, 2009 Canadian Conference on Electrical and Computer Engineering.