Speech is a signal that includes speaker's emotion, characteristic specification, phoneme-
information etc. Various methods have been proposed for speaker recognition by extracting …

This paper presents main paradigms of research for feature extraction methods to further
augment the state of art in speaker recognition (SR) which has been recognized extensively …

This paper presents a robust speaker identification method from degraded speech signals.
This method is based on the Mel-frequency cepstral coefficients (MFCCs) for feature …

Front-end or feature extractor is the first component in an automatic speaker recognition
system. Feature extraction transforms the raw speech signal into a compact but effective …

This paper presents a new framework for designing a feature extractor in a speaker
identification system based on the discriminative feature extraction (DFE) method. In order to …

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 …

Speech processing is emerged as one of the important application area of digital signal
processing. Various fields for research in speech processing are speech recognition …

This paper presents an efficient approach for automatic speaker identification based on
cepstral features and the Normalized Pitch Frequency (NPF). Most relevant speaker …

Speech signal is basically meant to carry the information about the linguistic message. But, it
also contains the speaker-specific information. It is generated by acoustically exciting the …

In the study, the effectiveness of combinations of cepstral features, channel compensation
techniques, and different local distances in the Dynamic Time Warping (DTW) algorithm is …