Autor: |
Alessio Bazzica, Lennart Kolmodin, Henrik Lundin, Alex Narest, Olga Sharonova, Pablo Barrera Gonzalez, Thomas C. Walters, Florian Stimberg |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
ACSSC |
DOI: |
10.1109/ieeeconf51394.2020.9443419 |
Popis: |
We present WaveNetEQ, a novel packet loss concealment method based on a WaveRNN architecture. The model is conditioned on a log-mel spectrogram of the past signal to extract slow moving features, like voice characteristics and prosody and achieves significantly better quality than pattern based methods for medium and long term packet loss. Through aggressive sparsification the model is efficient enough to run on a phone. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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