Breast cancer is one of the most widely spread disease and the second leading cause of
cancer death among women. Breast cancer starts when malignant lumps which are …

The robustness of automatic speech recognition (ASR) systems degrade due to the factors
such as environmental noises, speaker variability, and channel distortion, among others …

In this work, we present the creation of a speech corpus in an under-resourced language,
namely, Mizo, and report the development of a phone recognition system using state-of-the …

Mizo is an under-resourced tonal language that is mainly spoken in North-East India. It has 4
canonical tones along with a tone-sandhi. In Mizo language, a majority of the words contain …

In this paper, we introduce a novel class-dependent extension of two-dimensional linear
discriminant analysis (2DLDA) named CD-2DLDA, applied in automatic speech recognition …

Feature extraction is an important component of pattern classification and speech
recognition. Extracted features should discriminate classes from each other while being …

The class definition in Linear Discriminant Analysis (LDA) applied in Automatic Speech
Recognition (ASR) is a still discussed problem, because some issues have not been …

This paper describes the development of a continuous speech recognition system for
Assamese, an under-resourced language of North-East India. The Speech corpus used in …

Artificial immune systems that have been inspired from organic immune systems, have
drawn many attentions in recent years (and have been considered) as an evolutionary …

The most common acoustic front-ends in automatic speech recognition (ASR) systems are
based on the state-of-the-art Mel-Frequency Cepstral Coefficients (MFCCs). The practice …