Earlier studies have shown that musically trained individuals may a benefit in adverse listening situations when compared to non-musicians, especially speech-on-speech perception. However, the literature provides mostly conflicting results. In current study, by employing different measures of spoken language processing, we aimed test whether could capture potential differences between musicians...

The processing of speech signals has a long and venerable history. As early as 1770 Wolfgang von Kempelen demonstrated his mechanical talking machine to the courts of Europe. In 1928 Homer Dudley invented the “vocoder” (voice coder) arguing that speech is specified by a few slowly varying parameters requiring only a fraction of the telephone bandwidth for transmission. A digital vocoder was fir...

Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...

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...