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Framewise Wavegan: High Speed Adversarial Vocoder In Time Domain With Very Low Computational Complexity.

, , , , and . ICASSP, page 1-5. IEEE, (2023)

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BIG Science: A Collaborative Framework for Large Scale Research., , , , , and . GROUP, page 285-287. ACM, (2014)Neural network facilitated analysis of stress in a biological species., , and . IASTED Conf. on Software Engineering and Applications, page 25-29. IASTED/ACTA Press, (2004)An Optimized Energy Saving Mechanism in IEEE 802.16e Mobile WiMAX Systems, , , , and . J. High Speed Netw., 17 (3): 147--161 (August 2010)Framewise Wavegan: High Speed Adversarial Vocoder In Time Domain With Very Low Computational Complexity., , , , and . ICASSP, page 1-5. IEEE, (2023)Low-Bitrate Redundancy Coding of Speech Using A Rate-Distortion-Optimized Variational Autoencoder., , and . ICASSP, page 1-5. IEEE, (2023)A Streamwise Gan Vocoder for Wideband Speech Coding at Very Low Bit Rate., , , , , and . WASPAA, page 66-70. IEEE, (2021)A Lightweight Neural TTS System for High-quality German Speech Synthesis., , , , , , and . ITG Conference on Speech Communication, page 1-5. VDE, (2021)An optimized energy saving mechanism in IEEE 802.16e Mobile WiMAX systems., , , , and . J. High Speed Networks, 17 (3): 147-161 (2010)Analysis by Adversarial Synthesis - A Novel Approach for Speech Vocoding., , , , and . INTERSPEECH, page 191-195. ISCA, (2019)StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization., , and . ICASSP, page 6034-6038. IEEE, (2021)