Robust speech-based happiness recognition

Chang Hong Lin, Ernestasia Siahaan, Yu Hau Chin, Bo Wei Chen, Jia Ching Wang, Jhing Fa Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

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 into a probability product support vector machine for happiness recognition. In real world applications, the speech received are often exposed to noise, thus prone to reducing the recognition rate. We propose a noise suppression method using subspace based method. A gain function estimation method is used for time domain constrained (TDC) based subspace speech enhancement. The optimal Lagrange multiplier of the gain function will be estimated in accordance with signal to noise ratio (SNR) of the noisy speech. The proposed happiness recognition system has been tested using a large number of noisy speech utterances with a 34% equal error rate.

原文???core.languages.en_GB???
主出版物標題ICOT 2013 - 1st International Conference on Orange Technologies
頁面227-230
頁數4
DOIs
出版狀態已出版 - 2013
事件1st International Conference on Orange Technologies, ICOT 2013 - Tainan, Taiwan
持續時間: 12 3月 201316 3月 2013

出版系列

名字ICOT 2013 - 1st International Conference on Orange Technologies

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???event.eventtypes.event.conference???1st International Conference on Orange Technologies, ICOT 2013
國家/地區Taiwan
城市Tainan
期間12/03/1316/03/13

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