Soumitro Chakrabarty

Multi-Speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals

Soumitro Chakrabarty, Emanuël A. P. Habets · IEEE Journal of Selected Topics in Signal Processing · 2019 · 308 citations · Full text

Broadband doa estimation using convolutional neural networks trained with noise signals

Soumitro Chakrabarty, Emanuël A. P. Habets · 2017 · 274 citations · Full text

Time–Frequency Masking Based Online Multi-Channel Speech Enhancement With Convolutional Recurrent Neural Networks

Soumitro Chakrabarty, Emanuël A. P. Habets · IEEE Journal of Selected Topics in Signal Processing · 2019 · 82 citations

Ideal Binary Mask, Engineering, Health Sciences +14

CountNet: Estimating the Number of Concurrent Speakers Using Supervised Learning

Fabian-Robert Stöter, Soumitro Chakrabarty, Bernd Edler et al. · IEEE/ACM Transactions on Audio Speech and Language Processing · 2018 · 58 citations · Full text

Engineering, Machine Learning, Concurrent Speakers Using +20

Time-Frequency Masking Based Online Speech Enhancement with Multi-Channel Data Using Convolutional Neural Networks

Soumitro Chakrabarty, DeLiang Wang, Emanuël A. P. Habets · 2018 · 38 citations

Engineering, Speech Coding, Health Sciences +14