Identification and discrimination of sweep formants

Accent Identification by Clustering and Scoring Formants

There have been significant improvements in automatic voice recognition technology. However, existing systems still face difficulties, particularly when used by non-native speakers with accents. In this paper we address a problem of identifying the English accented speech of speakers from different backgrounds. Once an accent is identified the speech recognition software can utilise training se...

functional study of p0 proteins of two cereal yellow dwarf viruses (cydv-rpv and cydv-rps) and identification of their cellular partner

نقش سرکوبگری پروتئین p0 در دو پولروویروس کوتولگی زردی غلات cydv-rpv) و (cydv-rps، متفاوت در شدت بیماریزایی، مورد مطالعه قرار گرفت. نتایج نشان داد که هر دو پروتئین p0 p0cy-rpv) و (p0cy-rps قادر به سرکوب خاموشی آر ان ای ایجاد شده توسط ترادف های تراژن سنس و تکرار معکوس در n. benthamiana هستند. نشان داده شد که هر دو پروتئین p0 می توانند تخریب پروتئین argonaute-1 را تسهیل کنند. علاوه بر این، تمایل م...

Significance of formants from difference spectrum for speaker identification

In this paper, we describe a prototype speaker identification system using auto-associative neural network (AANN) and formant features. Our experiments demonstrate that formants extracted from difference spectrum perform significantly better than formants extracted from normal spectrum for the task of speaker identification. We also demonstrate that formants from difference spectrum provide com...

Wavelet Formants Speaker Identification Based System via Neural Network

In this paper Discrete wavelet Transform with logarithmic Power Spectrum Density (PSD) are combined for speaker formants extraction, to be used as evident classification features. For classification, Feed Forward Back Propagation Neural Network FFBNN method is proposed. The Discrete Wavelet formants Neural Network DWFNNT system works with excellent capability of features tracking even with 0dB ...

Tracking formants, extra-formants and anti-formants in non-modal speech by means of a spectral pole-zero model