This paper presents the main paradigms for speaker identification, and recent work on
missing data methods to increase robustness. The feature extraction, speaker modeling and …

This paper presents a study of automatic detection and recognition of tonal bird sounds in
noisy environments. The detection of spectro-temporal regions containing bird tonal …

This paper presents a method for an unsupervised discovery of acoustic patterns in bird
vocalisations recorded in real world natural environments. The proposed method employs …

This paper presents an automatic system for recognition of bird species from field audio
recordings. The proposed system employs a novel method for detection of sinusoidal …

This paper presents results on gender identification (GI) for children's speech, using the OGI
Kids corpus and GMM-UBM and GMM-SVM systems. Regions of the spectrum containing …

In this paper, a new method for making v/uv decision is developed which uses a multi-
feature v/uv classification algorithm based on the analysis of cepstral peak, zero crossing …

This paper presents a method for detection of sinusoidal signals corrupted by an additive
noise in the short-time Fourier domain. The proposed method is based on probabilistic …

This paper presents a single-channel speech enhancement system based on the Sparse
Code Shrinkage (SCS) algorithm and employment of multiple speech models. The …

Speech/pause detection is one of the important tasks in processing. Its effectiveness
depends on the accuracy of measuring amplitude, time, frequency and energy …

A large number of alarm sounds triggered by biomedical equipment occur frequently in the
noisy environment of a neonatal intensive care unit (NICU) and play a key role in providing …