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 Boosting Contextual Information for Deep Neural Network ...
Network Based Voice Activity Detection Xiao-Lei Zhang, Member, IEEE and DeLiang Wang, Fellow, IEEE Abstract—Voice activity detection (VAD) is an important topic in audio signal processing. Contextual information is important for improving the performance of VAD at low signal-to-noise ratios. Here we explore contextual information by machine...
VOICE ACTIVITY DETECTION SYSTEMS AND METHODS - Synaptics ...
Then, the noisy speech sequences for training are created similar to the work in T. Drugman, Y. Stylianou, Y. Kida, and M. Akamine, “Voice activity detection: Merging source and filter-based information,” IEEE Signal Processing Letters, vol. 23, no. 2, pp. 252-256, 2016. In some embodiments, approximately 30% of simulated noisy sequences ......
Publications - Tetsuji Ogawa
Sara Ashry, Tetsuji Ogawa, Walid Gomaa, ``CHARM-Deep: Continuous Human Activity Recognition Model Based on Deep Neural Network using IMU Sensors of Smartwatch,'' IEEE Sensors Journal, vol.XX, no.XX, pp.XXXX-XXXX, XXX 2020.(Accepted) [] Essam Algizawy, Tetsuji Ogawa, Ahmed Elmahdy, ``Real-time large-scale map matching using mobile phone data,’’ ACM Trans. Knowl....
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