A Dual Target Neural Network Method for Speech Enhancement

A Dual Target Neural Network Method for Speech Enhancement

2023 International Conference on Asian Language Processing (IALP)

10.1109/IALP61005.2023.10336989

http://dx.doi.org/10.1109/ialp61005.2023.10336989

Changhuai You, Minghui Dong, Lei Wang

12 December 2023

You, C., Dong, M., & Wang, L. (2023, November 18). A Dual Target Neural Network Method for Speech Enhancement. 2023 International Conference on Asian Language Processing (IALP). https://doi.org/10.1109/ialp61005.2023.10336989

In this paper, we introduce a neural network based speech enhancement method for heavy noisy scenarios. Comprising bidirectional long-short term memory (BLSTM), convolutional neural network (CNN) and deep feedforward neural network (DNN), a neural network architecture with a novel dual target scheme is proposed. The dual target scheme leverages the speech features from both linear and Mel spectral domains in order to retrieve very weak speech spectrum hidden in heavy noise. Experiments show that our proposed neural network architecture outperforms many traditional enhancement methods in terms of objective distortion measure and quality measure.

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https://oar.a-star.edu.sg/communities-collections/articles/19604

2159-1970

Institute for Infocomm Research