@inproceedings{75061015098549fea2b7fd5e4e5439fb,
title = "Blind estimation of reverberation time using binaural complex ideal ratio mask",
abstract = "Accurate estimation of reverberation time T60 proved to have a positive effect on the automatic speech recognition (ASR) used in the voice-controlled devices and the reconstruction of the acoustic field. Recently, researchers have proposed some algorithms to estimate T60. However, few of them directly use the spatial information about the acoustic environment contained in the speech for accurate T60 estimation. We propose a deep learning approach as a regression problem to use binaural reverberant speech generated by the clean speech convolved with simulated Room Impulse Response (RIR) to estimate T60. Adaptive cIRM estimator firstly estimates the complex Ideal Ratio Mask (cIRM), which is strongly correlated with T60, and then a CNN-based T60 estimator is used to estimate T60 with cIRM. The experimental results show that our proposed approach outperforms the state-of-the-art method of T60 estimation.",
keywords = "cIRM, Deep learning, Reverberation time",
author = "Chai, {Ming Yang} and Tiantian Li and Mengyao Zhu and Tao Wang and Wen Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019 ; Conference date: 08-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ICMEW.2019.00071",
language = "英语",
series = "Proceedings - 2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "378--383",
booktitle = "Proceedings - 2019 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2019",
}