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Disambiguation of "Sung, Jongmo"

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Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization.

, , , , and . ICASSP, page 361-365. IEEE, (2020)

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Suk-Hee Sung

Hsin-Ho Sung

Magdalena Sungu

Man-tai Sung

Michael Sung

 

Other publications of authors with the same name

Development of a Psychoacoustic Loss Function for the Deep Neural Network (DNN)-Based Speech Coder., , , , and . Interspeech, page 1694-1698. ISCA, (2021)Deep Neural Network (DNN) Audio Coder Using A Perceptually Improved Training Method., , , , and . ICASSP, page 871-875. IEEE, (2022)Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding., , , , and . IEEE Signal Process. Lett., (2020)On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising., , , and . CoRR, (2018)Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure., , , , , and . IEICE Trans. Inf. Syst., 92-D (12): 2540-2544 (2009)Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function., , , , and . INTERSPEECH, page 4411-4415. ISCA, (2022)Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization., , , , and . ICASSP, page 361-365. IEEE, (2020)Scalable and Efficient Neural Speech Coding., , , , and . CoRR, (2021)A Perceptual Neural Audio Coder with a Mean-Scale Hyperprior., , , , and . ICASSP, page 1-5. IEEE, (2023)G.711.1 Annex D and G.722 Annex B - New ITU-T superwideband codecs., , , , , , , , , and 1 other author(s). ICASSP, page 5232-5235. IEEE, (2011)