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The paper considers the task of recognizing environmental sounds for the understanding of a scene or context surrounding an audio sensor. A variety of features have been proposed for audio recognition, including the popular Mel-frequency cepstral coefficients (MFCCs) which describe the audio spectral shape. Environmental sounds, such as chirpings of insects and sounds of rain which are typically noise-like...
We propose a multimodal speaker segmentation algorithm with two main contributions: First, we suggest a hidden Markov model architecture that performs fusion of the three modalities: a multi-camera system for participant localization, a microphone array for speaker localization, and a speaker identification system; second, we present a novel method for dealing with overlapped speech segments through...
Expressive audio-visual synthetic characters are increasingly employed in research and commercial applications. However, the mechanism that people employ to interpret conflicting or uncertain multimodal emotional displays of these agents is not yet well understood. This study is an attempt to provide a better understanding of the interpretation of conflicting expressive displays in video and audio...
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