A phoneme is the smallest perceptually distinct sound unit that can be distinguished among
words in a particular language. Every language has its own set of phonemes, and all …

In this paper, the robust modulating features are used from a modulated sinusoidal signal
model for speech phoneme classification. The modulated sinusoidal signal model is useful …

Previous studies have revealed that by mimicking the neural activity patterns of the auditory
periphery to obtain perceptual features of speech signals, the resultant auditory …

In this paper, we analyse segmented speech phonemes with Convolutional filters, after
embedding them in Reconstructed Phase Space (RPS). These feature extracting …

Compared with machine audition, the human auditory system can recognize speech
accurately and quickly. This paper proposes a new developmental network (DN) that …

Classification of speech phonemes is challenging, especially under noisy environments,
and hence traditional speech recognition systems do not perform well in the presence of …

Speaker identification (SID) systems need to be robust to extrinsic variations in the speech
signal, such as background noise, to be applicable in many real-life scenarios. Mel …

A novel feature based on the simulated neural response of the auditory periphery was
proposed in this study for a speaker identification system. A well-known computational …

In this paper, deep neural network (DNN) is used to classify phonemes of the standard Khasi
dialect which is one of the commonly used dialects in the state of Meghalaya. For this, clean …

This study presents a computational model to reproduce the biological dynamics of
“listening to music.” A biologically plausible model of periodicity pitch detection is proposed …