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|Abstract:||We introduce a perceptually motivated approach to bandwidth expansion for speech. Our method pairs a new 3-way split variant of the FFTNet neural vocoder structure with a perceptual loss function, combining objectives from both the time and frequency domains. Mean opinion score tests show that it outperforms baseline methods from both domains, even for extreme bandwidth expansion.|
|Citation:||Feng, Berthy, Zeyu Jin, Jiaqi Su, and Adam Finkelstein. "Learning Bandwidth Expansion Using Perceptually-motivated Loss." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019): pp. 606-610. doi:10.1109/ICASSP.2019.8682367|
|Pages:||606 - 610|
|Type of Material:||Conference Article|
|Journal/Proceeding Title:||IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)|
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