A huge amount of research has been done in the field of speech signal processing in recent
years. In particular, there has been increasing interest in the automatic speech recognition …

Abstract Language Identification (LI) is one of the widely emerging field in the areas of
speech processing to accurately identify the language from the data base based on some …

An accurate objective prediction of human speech intelligibility is of interest for many
applications such as the evaluation of signal processing algorithms. To predict the speech …

Training of speech enhancement systems often does not incorporate knowledge of human
perception and thus can lead to unnatural sounding results. Incorporating …

Separation of speech mixtures in noisy and reverberant environments remains a
challenging task for state-of-the-art speech separation systems. Time-domain audio speech …

Speech separation remains an important area of multi-speaker signal processing. Deep
neural network (DNN) models have attained the best performance on many speech …

Recent work in the field of speech enhancement (SE) has involved the use of self-
supervised speech representations (SSSRs) as feature transformations in loss functions …

Security has become a major concern in this era of fast-growing applications. In such an
authentication scheme, the multimodal verification system is crucial. An essential …

Audio-Visual Automatic Speech Recognition (AV-ASR) has become the most promising
research area when the audio signal gets corrupted by noise. The main objective of this …

The speech recognition system has become a vital technology enabling seamless human–
computer interactions, even in noisy public places. To enhance the performance of various …