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A Real-Time Speech Separation Method Based on Camera and Microphone Array Sensors Fusion Approach
2020
Sensors
In the context of assisted human, identifying and enhancing non-stationary speech targets speech in various noise environments, such as a cocktail party, is an important issue for real-time speech separation. Previous studies mostly used microphone signal processing to perform target speech separation and analysis, such as feature recognition through a large amount of training data and supervised machine learning. The method was suitable for stationary noise suppression, but relatively limited
doi:10.3390/s20123527
pmid:32580328
fatcat:xfonjvw2izgp3c6qxztlal6do4