Publication

Fusing Audio-Visual Nonverbal Cues to Detect Dominant People in Conversations

2010
Reports

Abstract

This paper addresses the multimodal nature of social dominance and presents multimodal fusion techniques to combine audio and visual nonverbal cues for dominance estimation in small group conversations. We combine the two modalities both at the feature extraction level and at the classifier level via score and rank level fusion. The classification is done by a simple rule-based estimator. We perform experiments on a new 10-hour dataset derived from the popular AMI meeting corpus. We objectively evaluate the performance of each modality and each cue alone and in combination. Our results show that the combination of audio and visual cues is necessary to achieve the best performance.

Official source

https://infoscience.epfl.ch/entities/publication/5cf76b08-f1f0-410c-a5c9-1733f6c6bbe3

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2010
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/5cf76b08-f1f0-410c-a5c9-1733f6c6bbe3

About this result

Related concepts (32)

Maximum likelihood estimation

In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data. This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable. The point in the parameter space that maximizes the likelihood function is called the maximum likelihood estimate. The logic of maximum likelihood is both intuitive and flexible, and as such the method has become a dominant means of statistical inference.

Bayes estimator

In estimation theory and decision theory, a Bayes estimator or a Bayes action is an estimator or decision rule that minimizes the posterior expected value of a loss function (i.e., the posterior expected loss). Equivalently, it maximizes the posterior expectation of a utility function. An alternative way of formulating an estimator within Bayesian statistics is maximum a posteriori estimation. Suppose an unknown parameter is known to have a prior distribution .

Digital audio

Digital audio is a representation of sound recorded in, or converted into, digital form. In digital audio, the sound wave of the audio signal is typically encoded as numerical samples in a continuous sequence. For example, in CD audio, samples are taken 44,100 times per second, each with 16-bit sample depth. Digital audio is also the name for the entire technology of sound recording and reproduction using audio signals that have been encoded in digital form.

Related publications (1)

Fusing Audio-Visual Nonverbal Cues to Detect Dominant People in Conversations

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Model Non-Collapse: Minimax Bounds for Recursive Discrete Distribution Estimation