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Scene understanding in the context of a smart meeting room involves the extraction of various kinds of cues at different levels of semantic abstraction. Specifically, human activity in a scene is usually monitored using arrays of audio and visual sensors. Tasks such as person localization and tracking, speaker ID, focus of attention detection, speech recognition and affective state recognition are...
A two microphone direction of arrival (DOA) estimation technique for multiple speech sources is developed which exploits speech specific properties, namely sparsity in time-frequency (spectrum) domain. For robustness, we exploit the sparsity in the frequency domain by focusing on the spectral content concentrated in sinusoidal tracks obtained through sinusoidal modeling. When multiple speeches are...
Reverberant environments pose a challenge to speech acquisition from distant microphones. Approaches using microphone arrays have met with limited success. Recent research using audio-visual sensors for tasks such as speaker localization has shown improvement over traditional audio-only approaches. Using computer vision techniques we can estimate the orientation of the speaker's head in addition to...
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