All praise and thank is for Almighty Allah, who is the All-Powerful and the Generous. I am extremely grateful to Dr. Chin-Hui Lee. He consented to be my PhD thesis advisor, and guided me while I was conducting research in the challenging area of speech recognition.He not only supervised me throughout my research work, but also helped me a lot in all aspects of my PhD degree.
We propose a dynamic joint tracking framework to monitor the clean speech signal and noise simultaneously in order to compensate the noisy features. The clean speech signal is tracked using an integrated algorithm based on both particle filters and hidden Markov models. The information available from speech tracking is used for tracking and estimating the noise parameters. The availability of dynamic noise information enhances the robustness of the algorithm in case of large fluctuations in noise. We report on experimental results obtained with the Aurora-2 connected digit recognition task, and show that the performance for the additive noise cases can be improved by 12.15% over the state-of-the-art multi-condition training if the noise mean is updated every 300 milliseconds.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.