Nature is a tremendous provenance of resolving hard and complex problems that exist in the field computer science because it reveals very diverse, robust, dynamic, interesting phenomenon. It constantly finds optimal solution to resolve its problem which accomplishes exact equity among element. Nature-inspired algorithms are heuristic high-level procedure interprets nature solve optimization pop...

This paper addresses mismatch between speech processing units used by a speech recognizer and sentences of corpora. A standard speech recognizer divides an input speech into speech processing units based on its power information. On the other hand, training corpora of language models are divided into sentences based on punctuations. There is inevitable mismatch between speech processing units a...

Speech signals from the uncontrolled environments may contain degradation components along with the required speech components. The degradation components include background noise, reverberation and speech from other speakers. The degraded speech gives poor performance in automatic speech processing tasks like speech recognition and speaker recognition and is also uncomfortable for human listen...

Speech coding is a field where compression paradigms have not changed in the last 30 years. The speech signals are most commonly encoded with compression methods that have roots in Linear Predictive theory dating back to the early 1940s. This paper tries to bridge this influential theory with recent cognitive studies applicable in speech communication engineering. This tutorial article reviews ...

The Mel Frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. In this paper to achieve a satisfactorily performance in Automatic Speech Recognition (ASR) applications we introduce a noise robust new set of MFCC vector estimated through following steps. First, spectral mean normalization is a pre-processing which applies to t...

The recognition of unfamiliar regional and foreign accents represents a challenging task for the speech perception system (Floccia et al., 2006; Adank et al., 2009). Despite the frequency with which we encounter such accents, the neural mechanisms supporting successful perception of accented speech are poorly understood. Nonetheless, candidate neural substrates involved in processing speech in ...

During the past three decades, the issue of processing spectral phase has been largely neglected in speech applications. There is no doubt that the interest of speech processing community towards the use of phase information in a big spectrum of speech technologies, from automatic speech and speaker recognition to speech synthesis, from speech enhancement and source separation to speech coding,...