Sentence examples similar to audio visual features from inspiring English sources

As described in Section 3, audio-visual features are extracted from videos.

By combining the audio-visual features with the domain-specific knowledge, we may obtain a better understanding of the content.

The source dictionary W s consists of jointed audio-visual features, while the target dictionary W t consists of only audio features.

In order to infer the personality and leadership traits, we extract different kinds of non-verbal audio-visual features as listed in Table 1.

Using the joint audio-visual features as source features, VC performance is improved compared with that of a previous audio-input exemplar-based VC method.

Noisy audio-visual features are then decomposed into a linear combination of the clean audio-visual feature and the noise feature.

In our experiments, we aim to perform recognition on the extraversion and leadership traits using the extracted audio-visual features from Table 1.

At the beginning, a Multi-stream Hidden Markov Model (MHMM) is used to combine the audio-visual features for the emotion recognition.

It must be noted that the system has a constant time delay to take into account the co-articulation in the audio-visual features.

Audio-visual features were extracted from these databases as described in Section 3, and then used to train the AV-HMM.

We have proposed multimodal VC using NMF based on the idea of sparse representation and introduced the weight of audio-visual features.