Feature space clustering is a popular approach to image segmentation, in which a feature
vector of local properties (such as intensity, texture or motion) is computed at each pixel. The …

This paper presents a study of different methods for phoneme duration modeling in large
vocabulary speech recognition. We investigate the employment of phoneme duration and …

In this paper, we present a new rate-of-speech (ROS) detector that operates independently
from the recognition process. This detector is evaluated on the TIMIT corpus and positioned …

A model for deriving perceptual local speech rate directly from the speech signal is
developed based on experimental analysis of the relationship between speech acoustics …

This paper introduces two approaches to speech rate estimation: one is based on automatic
syllable detection and the other on automatic phone segmentation. For evaluation of both …

ÖZET Günümüzde bilgisayar ve insan arasındaki etkileşim, el ve gözü birlikte kullanmayı
gerektiren, daha çok yazıya dayalı biçimde gerçekleşmektedir. Halbuki insanlar kendi …

Spoken language research, even though originating from the very need of everyday-life, has
traditionally been mainly theoretical and descriptive. It is modern technology and present …

Членение речевого потока на крупные смысловые единицы—синтагмы и фразы—
осуществляется за счет комплексного взаимодействия мелодических, темпоральных …

The accuracy of speech recognition systems is known to be affected by fast speech. If fast
speech can be detected by means of a measure of speaking rate, the acoustic as well as …

Durational patterns of phonetic segments and pauses convey information about the
linguistic content of an utterance. Most speech recognition systems grossly underutilize the …