Identifying a person by his or her voice is an important human trait most take for granted in
natural human-to-human interaction/communication. Speaking to someone over the …

Speaker recognition is related to human biometrics dealing with the identification of
speakers from their speech. Speaker recognition is an active research area and being …

This paper introduces the Voices Obscured In Complex Environmental Settings (VOICES)
corpus, a freely available dataset under Creative Commons BY 4.0. This dataset will …

Verifying the identity of voice inputs is important as voices are increasingly used for sensitive
operations. Traditional methods focus on differentiating individuals via the spectrographic …

In this paper, auditory inspired modulation spectral features are used to improve automatic
speaker identification (ASI) performance in the presence of room reverberation. The …

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 …

Automatic speaker recognition systems (SRSs) have been widely used in voice applications
for personal identification and access control. A typical SRS consists of three stages, ie …

In this paper we propose bottleneck features of deep neural network for distant-talking
speaker identification. The accuracy of distant-talking speaker recognition is significantly …

It is well known that MFCC based speaker identification (SID) systems easily break down
under mismatched training and test conditions. One such mismatch occurs when a SID …

The importance of robust audio speech processing has rapidly increased in the latest years,
as the number of smart and connected devices is growing. This effect is strongly related to …