Humans can identify a speaker by listening to their voice, over the telephone, or on any
digital devices. Acquiring this congenital human competency, authentication technologies …

Speaker Identification (SI) is the process of identifying the speaker from a given utterance by
comparing the voice biometrics of the utterance with those utterance models stored …

This article addresses the problem of multichannel audio source separation. We propose a
framework where deep neural networks (DNNs) are used to model the source spectra and …

In this paper we propose to use a state-of-the-art Deep Recurrent Neural Network (DRNN)
based Speech Enhancement (SE) algorithm for noise robust Speaker Verification (SV) …

Deep neural network (DNN)-based approaches have been shown to be effective in many
automatic speech recognition systems. However, few works have focused on DNNs for …

We consider the problem of robust automatic speech recognition (ASR) in the context of the
CHiME-3 Challenge. The proposed system combines three contributions. First, we propose …

Distant speaker recognition (DSR) system assumes the microphones are far away from the
speaker's mouth. Also, the position of microphones can vary. Furthermore, various …

Channel Compensation for Speaker Recognition Using MAP Adapted PLDA and Denoising
DNNs Page 1 Frederick Richardson, Brian Nemsick and Douglas Reynolds Odyssey 2016 …

This chapter presents a multichannel audio source separation framework where deep
neural networks (DNNs) are used to model the source spectra and combined with the …

Recent work has shown large performance gains using denoising DNNs for speech
processing tasks under challenging acoustic conditions. However, training these DNNs …