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Background Noise Suppression in Audio File using LSTM Network
2022
International Journal for Research in Applied Science and Engineering Technology
Abstract— In the realm of speech enhancement, noise suppression is a crucial problem. It is especially important in workfrom-home situations where noise reduction may improve communication quality and reduce the cognitive effort of video conferencing. As a result of the advent of deep neural networks, several novel ways for audio processing methods based on deep models have been presented. The goal of the project is to use a stacked Dual signal Transformation LSTM Network (DTLN) to combine both
doi:10.22214/ijraset.2022.44109
fatcat:snqgeixzzraudnais2z6hz6hki