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This paper proposes a robust environmental sound recognition system using a fast noise suppression approach for home automation applications. The system comprises a fast subspace-based noise suppression module and a sound classification module. For the noise suppression module, we propose a noise suppression method that applies fast subspace approximations in the wavelet domain. We show that this...
This paper presents a robust happiness recognition system. The system consists of a happiness recognition module and a noise suppression module. In the happiness recognition module, we present an emotion feature set comprising Mel-frequency cepstral coefficients (MFCCs), the subband powers, spectral centroid, spectral spread, spectral flatness, RSS, pitch and energy. The proposed feature set is fed...
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