Titlebook: Speech, Sound and Music Processing: Embracing Research in India; 8th International Sy Sølvi Ystad,Mitsuko Aramaki,Sanghamitra Mohanty Confe

BLAZE

枫树

A System for Analysis of Large Scale Speech Data for the Development of Rules of Intonation for Speesynthesis engines but with the fact that comprehensive intonation rules of natural intonation are not available for any of the major spoken language of India. The knowledge available in this area is primarily subjective with the risk of unintentional personal bias. It lacks plurality in the sense th

glans-penis

Adaptive and Iterative Wiener Filter for Oriya Speech Processing Applicationsfication in the presence of additive noise with help of proposed adaptive and iterative Wiener filter. This paper deals with the problem of single microphone, frequency domain speech enhancement in noisy environments using Wiener filter in iterative and adaptive manner based on the speech signal sta

运动性

On the Role of Formants in Cognition of Vowels and Place of Articulation of Plosivessitions thereof respectively. A brief status report on the objective classification of vowels based on formant frequencies is presented including an experimental study of relevant parameters of formant frequencies for machine classification of plosives from correctly spoken VCV syllables by native s

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逗它小傻瓜

A Statistical Approach to Analyzing Sound Tracingsal movement has been shown to be related to sound frequency, both in terms of spectral centroid and pitch. Moreover, a significantly higher amount of overall acceleration was observed for non-pitched sounds as compared to pitched sounds.

心胸开阔

Auditory Time-Frequency Masking: Psychoacoustical Data and Application to Audio Representationsorithm that removes the inaudible components in the wavelet transform of a sound while causing no audible difference to the original sound after re-synthesis is proposed. Preliminary results are promising, although further development is required.

Pelvic-Floor

Adaptive and Iterative Wiener Filter for Oriya Speech Processing Applicationsr identification and language identification performance under noisy conditions. The accuracy of all above applications is increased by 3% to 8% in average due to the proposed speech enhancement technique incorporation in our ongoing research works.