Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...
In this paper, we present a new algorithm for solving the permutation ambiguity in convolutive blind source separation. A common approach for separation of convolutive mixtures is...
The advent of Compressive Sensing has provided significant mathematical tools to enhance the sensing capabilities of hardware devices. In this paper we apply Compressive Sensing ...
In this paper, we propose a novel phase preserving spectral subtraction method for enhancing speech in noise. Instead of the conventional approach of carrying out subtraction on t...
The concepts of modulation frequency along with modulation spectra are originally encountered in acoustics, speech and audio processing. The modulation spectrum, a function of aco...