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Direction of Arrival Estimation of Noisy Speech Using Convolutional Recurrent Neural Networks with Higher-Order Ambisonics Signals
Training convolutional recurrent neural networks on first-order Ambisonics signals is a well-known approach when estimating the direction of arrival for speech/sound signals.
Mobile Quantification and Therapy Course Tracking for Gait Rehabilitation
This paper presents a novel autonomous quality metric to quantify the rehabilitations progress of subjects with knee/hip operations.
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