Name
Abstract | ||
|---|---|---|
Recently, GAN vocoders have seen rapid progress in speech synthesis, starting to outperform autoregressive models in perceptual quality with much higher generation speed. However, autoregressive vocoders are still the common choice for neural generation of speech signals coded at very low bit rates. In this paper, we present a GAN vocoder which is able to generate wideband speech waveforms from pa... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/WASPAA52581.2021.9632750 | 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) |
Keywords | DocType | ISSN |
Speech codecs,Speech coding,Vocoders,Computational modeling,Bit rate,Signal processing algorithms,Signal processing | Conference | 1931-1168 |
ISBN | Citations | PageRank |
978-1-6654-4870-3 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed Mustafa | 1 | 0 | 0.68 |
| Jan Büthe | 2 | 0 | 0.34 |
| Srikanth Korse | 3 | 0 | 1.35 |
| Kishan Gupta | 4 | 0 | 1.01 |
| Guillaume Fuchs | 5 | 38 | 7.84 |
| Nicola Pia | 6 | 0 | 1.01 |