A Deep Learning Model for Stationary Audio Noise Reduction
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4863-3_48
Reference6 articles.
1. Li K, Guo Y, Fu Q, Li J, Yan Y (2012) Two-microphone noise reduction using spatial information-based spectral amplitude estimation. IEICE Trans Inf Syst 95(5):1454–64
2. Xu Y, Du J, Dai LR, Lee CH (2014) A regression approach to speech enhancement based on deep neural networks. IEEE/ACM Trans Audio Speech Lang Process 23(1):7–19
3. Maas A, Le QV, O’neil TM, Vinyals O, Nguyen P, Ng AY (2012) Recurrent neural networks for noise reduction in robust ASR
4. Paglialonga A, Tognola G, Baselli G, Parazzini M, Ravazzani P, Grandori F (2006) Speech processing for cochlear implants with the discrete wavelet transform: feasibility study and performance evaluation.“ In: International conference of the IEEE engineering in medicine and biology society, pp 3763–3766. IEEE
5. Park SR, Lee J (2016) A fully convolutional neural network for speech enhancement. arXiv: 1609.07132
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