Recently, increasing attention has been directed to study and identify the emotional content
of a spoken utterance. This study introduces a method to improve emotion classification …

This study proposes a new non-intrusive measure of speech quality, the neurogram speech
quality measure (NSQM), based on the responses of a biologically-inspired computational …

In order to mimic the capability of human listeners identifying speech in noisy environments,
this paper proposes a phoneme classification technique using simulated neural responses …

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

A method that uses fuzzy logic to classify two simple speech features for the automatic
classification of voiced and unvoiced phonemes is proposed. In addition, two variants, in …

Speech recognition performance of the machine has been greatly improved using artificial
intelligence. However, compared with the superior recognition ability of human auditory …

Background and environmental noises negatively affect the quality of verbal communication
between humans as well as in human-computer interaction. However, this problem is …

In order to mimic the capability of human listeners identifying speech in noisy environments,
this paper proposes a phoneme classification technique using simulated neural responses …