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Viewing 1-3 of 3 total results
 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...
Speech Activity Detection on YouTube Using Deep Neural ...
Speech activity detection (SAD) is an important first step in speech processing. Commonly used methods (e.g., frame-level classification using gaussian mixture models (GMMs)) work well under stationary noise conditions, but do not generalize well to domains such as YouTube, where videos may exhibit a diverse range of environmental conditions....
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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