Speaker individuality in fundamental frequency contours and its control.

Speaker individualities in fundamental frequency contours and its control

Speaker verification using fundamental frequency

This paper describes the use of speech fundamental frequency (F0) for speaker verification. Both Chinese and English have been included in this study, with Chinese representing a tonal language and English representing a non-tonal language. A HMM-based speaker verification system has been developed, using features based on cepstral coefficients and the F0 contour. Four different techniques have...

Nasality in speech and its contribution to speaker individuality

The term nasality refers to the timbre of the nasal phonemes. It is also used to express the quality of sound that characterises some speakers. In this paper, we propose to classify nasality in natural speech into four types: phonemic nasality, nasality in assimilation, incidental nasality in the production of voiced plosives, and nasality associated with speaker individuality. Speech sounds re...

Removing micromelody from fundamental frequency contours

In this paper we describe a new method to diminish microprosodic components of fundamental frequency contours by applying weight functions linked to microprosodically classified phone combinations. For vowel segments in obstruent environments our algorithm outperforms standard smoothing algorithms like Moving-Average filtering, Savitzky-Golay filtering or MOMEL in diminishing F0 variations rela...

Prosodic word boundary detection using mora transition modeling of fundamental frequency contours -speaker independent experiments-

We have been developing a reliable method for prosodic word boundary detection for Japanese continuous speech based on the discrete hidden Markov modeling of fundamental frequency (F 0 ) contours in mora unit. Although a favorable result was obtained for ATR continuous speech corpus as reported already, experiments were done only on closed conditions. This paper reports the results on open and ...