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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Active Noise Cancellation using deep learning |
| Authors Name: | Dr.V.Kejalakshmi , M.Anusuya , A.Kamatchi |
| Unique Id: | IJSDR2207015 |
| Published In: | Volume 7 Issue 7, July-2022 |
| Abstract: | Active Noise Cancellation (ANC) is one of the most effective ways of reducing noise. The active noise reduction headphone is the most successful application of active noise control. Traditional active noise control methods are based on adaptive signal processing with the least mean square algorithm as the foundation. They are linear systems and do not perform satisfactorily in the presence of nonlinear distortions. In this project, ANC is formulated as a supervised learning problem and a deep learning approach, called deep ANC is proposed. Hybrid Active noise cancellation techniques which is the combination of feed forward and feedback techniques, in this project.Large scale multi conditioning is trained to achieve good generalization and robustness against a variety of noises.The goal of ANC systems is to generate an anti-noise with the same amplitude and opposite phase of the primary (unwanted) noise to cancel the primary noise. A Convolutional Recurrent Network (CRN) is trained to estimate the real and imaginary spectrograms of the canceling signal from the reference signal so that the corresponding anti-noise can eliminate or attenuate the primary noise in the ANC system. |
| Keywords: | Keywords – Deep ANC, Convolutional Recurrent Network, Librosa, Denoise |
| Cite Article: | "Active Noise Cancellation using deep learning ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.133 - 139, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2207015.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR2207015 Registration ID:200624 Published In: Volume 7 Issue 7, July-2022 DOI (Digital Object Identifier): Page No: 133 - 139 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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