Bandwidth Extension Method Based on Generative Adversarial Nets for Audio Compression

Huang Q, Wu X, Qu T. Bandwidth Extension Method Based on Generative Adversarial Nets for Audio Compression. In: AES Convention 144. Audio Engineering Society; 2018. Paper 9954. Available from: https://aes.org/publications/elibrary-page/?id=19471

@inproceedings{Huang2018_19471,
  author = {Huang, Qingbo and Wu, Xihong and Qu, Tianshu},
  title = {{Bandwidth Extension Method Based on Generative Adversarial Nets for Audio Compression}},
  booktitle = {AES Convention 144},
  note = {Paper 9954},
  year = {2018},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19471}
}

TY  - CPAPER
TI  - Bandwidth Extension Method Based on Generative Adversarial Nets for Audio Compression
AU  - Huang, Qingbo
AU  - Wu, Xihong
AU  - Qu, Tianshu
T2  - AES Convention 144
M1  - Paper 9954
PY  - 2018
DA  - 2018/05/06
UR  - https://aes.org/publications/elibrary-page/?id=19471
PB  - Audio Engineering Society
LA  - en
AB  - The compression ratio of core-encoder can be improved significantly by reducing the bandwidth of the audio signal, resulting in the poor listening perception. This paper proposes a bandwidth extension method based on generative adversarial nets (GAN) for extending the bandwidth of an audio signal, to create a more natural sound. The method uses GAN as a generative model to fit the distribution of the MDCT coefficients of the audio signals in the high-frequency components. Through minimax two-player gaming, more natural high-frequency information can be estimated. On this basis, a codec system is built up. To evaluate the proposed bandwidth extension system the MUSHRA experiments were carried on and the results show that there is comparable performance with HE-AAC.
ER  -