Audio Enhancement for Computer Audition—An Iterative Training Paradigm Using Sample Importance
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DOI: 10.1007/s11390-024-2934-x
Abstract: Neural network models for audio tasks, such as automatic speech recognition (ASR) and acoustic scene classification (ASC), are susceptible to noise contamination for real-life applications. To improve audio quality, an enhancement module, which can be… read more here.
Keywords: computer; computer audition; speech; training paradigm ... See more keywords