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Evaluation Of Deep-Learning-Based Voice Activity Detectors And Room Impulse Response Models In Reverberant Environments
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Evaluation Of Deep-Learning-Based Voice Activity Detectors And Room Impulse Response Models In Reverberant Environments
State-of-the-art deep-learning-based voice activity detectors (VADs) are often trained with anechoic data. However, real acoustic environments are generally reverberant, which causes the performance to significantly deteriorate. To mitigate this mismatch
State-of-the-art deep-learning-based voice activity detectors (VADs) are often trained with anechoic data. However, real acoustic environments are generally reverberant, which causes the performance to significantly deteriorate. To mitigate this mismatch
