In this paper, we present a microphone array beamforming approach to blind speech separation. Unlike previous beamforming approaches, our system does not require a-priori knowledge...
In this paper, we propose a novel method for blind source separation (BSS) based on time-frequency sparseness (TF) that can estimate the number of sources and time-frequency masks,...
- Real-time speaker verification, with speech acquired using the NIST Mk-III microphone array and an autodirective beamforming algorithm, is demonstrated. The software and hardware...
Gang Mei, Roger Xu, Debang Lao, Chiman Kwan, Vince...
Reverberant environments pose a challenge to speech acquisition from distant microphones. Approaches using microphone arrays have met with limited success. Recent research using a...
Shankar T. Shivappa, Bhaskar D. Rao, Mohan M. Triv...
We present a frequency-domain technique based on PARAllel FACtor (PARAFAC) analysis that performs multichannel blind source separation (BSS) of convolutive speech mixtures. PARAFAC...
Dimitri Nion, Kleanthis N. Mokios, Nicholas D. Sid...