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 paper presents a speech enhancement technique for signals corrupted by
nonstationary acoustic noises. The proposed approach applies the empirical mode …

This letter develops the Kalman and unbiased finite impulse response filtering algorithms for
linear discrete-time state-space models with Gauss-Markov colored process noise (CPN) …

Speaker recognition faces many practical difficulties, among which signal inconsistency due
to environmental and acquisition channel factors is most challenging. The noise imposed to …

This paper investigates the fusion of Mel-frequency cepstral coefficients (MFCC) and
statistical pH features to improve the performance of speaker verification (SV) in non …

The most challenging in speech enhancement technique is tracking non-stationary noises
for long speech segments and low Signal-to-Noise Ratio (SNR). Different speech …

A synthetic corpus of dialogs was constructed from the LibriSpeech corpus, and is made
freely available for diarization research. It includes over 90 h of training data, and over 9 h …

This letter introduces a Frame Relevance Score (FRS) to improve the classification of
environmental acoustic sources from noisy speech signals. The importance of each short …

Determining the speaker of a given speech utterance from a group of people is referred to as
speaker identification. When voice disguising is done by a person, which is commonly seen …