Estimation of Place of Constriction during Stop Closures by Bivariate Surface Modeling

نویسندگان

  • M. S. Shah
  • P. C. Pandey
چکیده

Speech-training systems providing visual feedback of vocal tract shape are found to be useful for improving vowel articulation. Estimation of vocal tract shape, based on LPC and other analysis techniques, generally fails during stop closures, due to low signal energy and unavailability of spectral information. A technique has been investigated for the estimation of place of constriction during stop closures by performing bivariate polynomial surface modeling on vocal tract area values during transition segments preceding and following the closure and their interpolation during closure segment. The place of constriction estimated with our technique compared well with the actual constriction locations observed from the articulatory data in /Ca/ utterances. The technique can be used for improving effectiveness of speech-training systems for the production of stop consonants. Keywords–Estimation of place of constriction, Speech training aids, Vocal tract shape estimation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimation of Place of Articulation During Stop Closures of Vowel-Consonant-Vowel Utterances

Production of vowel–oral stop consonant–vowel utterances involves movement of articulators from the articulatory position of the initial vowel towards that of the oral stop closure, and then to that of the final vowel. As the closure segments have zero or low signal energy, linear predictive coding (LPC)-based estimation of vocal tract shape fails during stop closure. This paper reports a techn...

متن کامل

Surface Modeling of Vocal Tract Shapes in Transition Segments of Vowel-consonant-vowel Syllables for Estimation of Place of Closure

Production of vowel-stop consonant-vowel syllables involves movement of articulators from the articulatory position of the vowel towards that of the stop closure to that of the vowel. Movement of articulators before and after a stop closure is characterized by formant transitions. The closure portion of a stop have zero or low signal energy and relevant spectral information is not available. He...

متن کامل

Detection of Transition Segments in VCV Utterances for Estimation of the Place of Closure of Oral Stops for Speech Training

A visual feedback of articulatory efforts can be used in speech-training aids for improving articulation by the hearingimpaired children. LPC-based estimation of vocal tract shape works satisfactorily for vowels but fails during stop closure. The vocal tract shape during the stop closures of vowelconsonant-vowel (VCV) utterances can be estimated by bivariate surface modeling of the vocal tract ...

متن کامل

Estimation of place of articulation in stop consonants for visual feedback

Speech-training systems providing visual feedback of vocal tract shape are found to be useful for improving vowel articulation. Estimation of vocal tract shape, based on LPC and other analysis techniques, generally fails during stop closures, due to very low signal energy and unavailability of spectral information. Based on estimated area values and line spectrum pair (LSP) coefficients before ...

متن کامل

Areagram Display for Investigating the Estimation of Vocal Tract Shape for a Speech Training Aid

The display of intensity, pitch, and vocal tract shape is considered to be helpful in speech training of the hearing impaired. A speech analysis package is developed in MATLAB for displaying speech waveforms, pitch and energy contours, spectrogram, and areagram (a two-dimensional plot of crosssectional area of vocal tract as a function of time and position along the tract length). While vocal t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011