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Khandokar Md. Nayem

2 accepted papers

2021

Towards An ASR Approach Using Acoustic and Language Models for Speech Enhancement

ICASSP 2021accepted

Recent work has shown that deep-learning based speech enhancement performs best when a time-frequency mask is estimated. Unlike speech, these masks have a small range of values that better facilitate regression-based learning. The question remains whether neural-network based speech estimation shoul…

Cited by 0SourceScholar
2020

Monaural Speech Enhancement Using Intra-Spectral Recurrent Layers in the Magnitude and Phase Responses

ICASSP 2020accepted

Speech enhancement has greatly benefited from deep learning. Currently, the best performing deep architectures use long short-term memory (LSTM) recurrent neural networks (RNNs) to model short and long temporal dependencies. These approaches, however, underutilize or ignore spectral-level dependenci…

Cited by 0SourceScholar