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The recognition of affect in speech has attracted a lot of interest recently; especially in the area of cognitive and computer sciences. Most of the previous studies focused on the recognition of basic emotions (such as happiness, sadness and anger) using categorical approach. Recently, the focus has been shifting towards dimensional affect recognition based on the idea that emotional states are not...
In this paper, we represent a new approach for robust speaker independent ASR using binary masks as feature vectors. This method is evaluated on an isolated digit database, TIDIGIT in three noisy environments (car, bottle and cafe noise types taken from the DRCD Sound Effects Library). Discrete Hidden Markov Models are used for the recognition and the observation vectors are quantized with the K-means...
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