This paper proposes an approach for Voice Activity Detection (VAD) based on the automatic measurement of gesturing. The main motivation of the work is that gestures have been shown to be tightly correlated with speech, hence they can be considered a reliable evidence that a person is talking. The use of gestures rather than speech for performing VAD can be helpful in many situation (e.g., surve...

BACKGROUND the voice of choir conductors. AIM to evaluate the vocal quality of choir conductors based on the production of a sustained vowel during singing and when speaking in order to observe auditory and acoustic differences. METHOD participants of this study were 100 choir conductors, with an equal distribution between genders. Participants were asked to produce the sustained vowel "é" ...

Voice activity detection (VAD) is a fundamental task in various speech-related applications, such as speech coding, speaker diarization and speech recognition. It is often defined as the problem of distinguishing speech from silence/noise. A typical VAD system consists of two core parts: a feature extraction and a speech/ non-speech decision mechanism. The first part extracts a set of parameter...

Detecting the presence of speech in a noisy signal is an unsolved problem affecting numerous speech processing applications. This paper shows an effective method employing support vector machines (SVM) for voice activity detection (VAD) in noisy environments. The use of kernels in SVM enables to map the data into some other dot product space (called feature space) via a nonlinear transformation...

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In free dialogue, the speaking time may be distributed among the speakers in various ways. These turn-taking dynamics probably reflect interactional settings. The timing of utterances and pauses has been studied as early as in the 1930’s, whereas the long-term prosodic properties of interaction and turn-taking dynamics have received less attention. In this preliminary study, we explore and visu...