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4. Evaluation Of Deep-Learning-Based Voice Activity Detectors And Room Impulse Response Models In Reverberant Environments

Evaluation Of Deep-Learning-Based Voice Activity Detectors And Room Impulse Response Models In Reverberant Environments

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IEEE ICASSP 2020 Virtual Conference May 2020

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

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Evaluation Of Deep-Learning-Based Voice Activity Detectors And Room Impulse Response Models In Reverberant Environments

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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