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The lack of publicly available annotated databases is one of the major barriers to research advances on emotional information processing. In this contribution we present a recently collected database of spontaneous emotional speech in German which is being made available to the research community. The database consists of 12 hours of audio-visual recordings of the German TV talk show ldquoVera am...
Recent work on emotional speech processing has demonstrated the interest to consider the information conveyed by the emotional component in speech to enhance the understanding of human behaviors. But to date, there has been little integration of emotion detection systems in effective applications. The present research focuses on the development of a fear-type emotions recognition system to detect...
In this paper, a large emotional speech database MASC (Mandarin affective speech corpus) is introduced. The database contains recordings of 68 native speakers (23 female and 45 male) and five kinds of emotional states: neutral, anger, elation, panic and sadness. Each speaker pronounces 5 phrases, 10 sentences for three times for each emotional states and 2 paragraphs only for neutral. These materials...
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