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Abstract
Abstract—Automatic speech recognition and spoken language understanding are crucial steps towards a natural human-machine interaction. The main task of the speech communication process is the recognition of the word sequence, but the recognition of prosody, emotion and stress tags may be of particular importance as well. This paper discusses the possibilities of recognition emotion from speech signal in order to improve ASR, and also provides the analysis of acoustic features that can be used for the detection of speaker’s emotion and stress. The paper also provides a short overview of emotion and stress classification techniques. The importance and place of emotional speech recognition is shown in the domain of human-computer interactive systems and transaction communication model. The directions for future work are given at the end of this work.
Keyphrases
particular importance word sequence spoken language understanding natural human-machine interaction crucial step short overview speaker emotion recognition emotion abstract automatic speech recognition future work main task speech signal human-computer interactive system stress classification technique acoustic feature transaction communication model speech communication process stress tag emotional speech recognition
