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Denoising autoencoders based on DNN and CNN topologies for speech enhancement

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sathvikyesprabhu/speech-enhancement-CNN

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speech-enhancement-CNN

Comparison of DNN and CNN based denoising autoencoders for speech enhancement

Dataset:

Clean speech: TIMIT Noise: MUSAN

Deep learning framework:

PyTorch

Evaluation metrics:

PESQ, LSD

References:

T. Kounovsky and J. Malek, "Single channel speech enhancement using convolutional neural network," 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM), 2017, pp. 1-5, doi: 10.1109/ECMSM.2017.7945915.

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Denoising autoencoders based on DNN and CNN topologies for speech enhancement

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