Large organizations need to be nimble in delivering software solutions for meeting rapidly
changing business requirements and technology landscape. Following Agile principles of …

Most of the state-of-the-art speaker recognition system use natural speech signal (ie, real
speech, spontaneous speech or contextual speech) from the subjects. In this paper …

In this paper, recognition of persons is attempted from their hum. This kind of application can
be useful to design humming-based biometrics system or person-dependent Query-by …

There is very good research potential for develo** speech processing applications in
Indian languages (such as speech and speaker recognition). In this paper, we describe the …

Speaker recognition deals with designing the system which recognizes the person by
speech with the help of computers. In this paper, the various biometric signals produced by …

In this paper, novel Variable length Teager Energy Operator (VTEO) based Mel frequency
cepstral coefficients, namely, VTMFCC are proposed for automatic classification of normalvs …

In this paper, hum of a person (instead of normal speech) is used to design a voice biometric
system for person recognition. In addition, a recently proposed static feature set, viz …

In this paper, we attempt voice biometrics problem using only humming signal rather than
normal speech. This paper adapts a new feature extraction technique which exploits …

This paper presents use of hum of a person as a biometric cue for person recognition task.
Mel Frequency Cepstral Coefficients (MFCC) is found to be state-of-the-art in the voice …