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The technique of motion vector estimation can remove the information of temporal redundancy to reduce the bit rate for video coding. Due to the great computation required in motion vector estimation, many simplified search algorithms have been proposed. In particular, one-bit transform scheme can significantly reduce the search complexity. This paper(More)
Automatic emotional speech recognition system can be characterized by the selected features, the investigated emotional categories, the methods to collect speech utterances, the languages, and the type of classifier used in the experiments. Until now, several classifiers are adopted independently and tested on numerous emotional speech corpora but no any(More)
This paper presents a Mandarin audiovisual recognition system dealing with noisy and emotional speech signal. In the proposed approach, we extract the visual features of the lips. These features are very important to the recognition system especially in noisy condition or with emotional effects. In this recognition system, we propose to use the(More)
Automatic recognition of emotions in speech aims at building classifiers for classifying emotions in test emotional speech. This paper presents an emotion recognition system to compare several classifiers from clean and noisy speech. Five emotions, including anger, happiness, sadness, neutral and boredom, from Mandarin emotional speech are investigated. The(More)
Automatic speech recognition (ASR) by machine has been a goal and an attractive research area for past several decades. In recent years, there has been growing attractive research topic for overcoming certain audio-only recognition problems. Motivated by the multimodal nature of speech, the visual feature is considered to bring in information that dose not(More)
—Automatic speech recognition (ASR) by machine has been an attractive research area in past several decades. In recent years, there are many automatic speech-reading systems proposed that utilizing the combination of audio and visual speech features. In this paper, we proposed an automatic visual feature extraction approach to extract the visual features of(More)
For past several decades, visual speech signal processing has been an attractive research topic for overcoming certain audio-only recognition problems. In recent years, there have been many automatic speech-reading systems proposed that combine audio and visual speech features. For all such systems, the objective of these audiovisual speech recognizers is(More)
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