Cascaded cross-module residual learning towards lightweight end-to-end speech coding K Zhen, J Sung, MS Lee, S Beack, M Kim arXiv preprint arXiv:1906.07769, 2019 | 42 | 2019 |
Psychoacoustic calibration of loss functions for efficient end-to-end neural audio coding K Zhen, MS Lee, J Sung, S Beack, M Kim IEEE Signal Processing Letters 27, 2159-2163, 2020 | 26 | 2020 |
Scalable and efficient neural speech coding: A hybrid design K Zhen, J Sung, MS Lee, S Beack, M Kim IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 12-25, 2021 | 18* | 2021 |
Efficient and scalable neural residual waveform coding with collaborative quantization K Zhen, MS Lee, J Sung, S Beack, M Kim ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 17 | 2020 |
Sub-8-bit quantization aware training for 8-bit neural network accelerator with on-device speech recognition K Zhen, HD Nguyen, R Chinta, N Susanj, A Mouchtaris, T Afzal, ... arXiv preprint arXiv:2206.15408, 2022 | 15* | 2022 |
Source-aware neural speech coding for noisy speech compression H Yang, K Zhen, S Beack, M Kim ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 15 | 2021 |
Audio signal encoding method and apparatus and audio signal decoding method and apparatus using psychoacoustic-based weighted error function J Sung, M Kim, A Sivaraman, K Zhen US Patent 11,416,742, 2022 | 13 | 2022 |
Sparsification via compressed sensing for automatic speech recognition K Zhen, HD Nguyen, FJ Chang, A Mouchtaris, A Rastrow ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 13 | 2021 |
On psychoacoustically weighted cost functions towards resource-efficient deep neural networks for speech denoising K Zhen, A Sivaraman, J Sung, M Kim arXiv preprint arXiv:1801.09774, 2018 | 10 | 2018 |
A dual-staged context aggregation method towards efficient end-to-end speech enhancement K Zhen, MS Lee, M Kim ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 9* | 2020 |
Conmer: Streaming Conformer without self-attention for interactive voice assistants M Radfar, P Lyskawa, B Trujillo, Y Xie, K Zhen, J Heymann, D Filimonov, ... | 5 | 2023 |
A functional flavor of service composition L Bao, Q Li, K Zhen, W Xiang, P Chen 2011 Eighth International Conference on Fuzzy Systems and Knowledge …, 2011 | 2 | 2011 |
Residual coding method of linear prediction coding coefficient based on collaborative quantization, and computing device for performing the method M Kim, K Zhen, MS Lee, SK Beack, J Sung, TJ Lee, JS Choi US Patent 11,488,613, 2022 | 1 | 2022 |
Audio signal encoding method and audio signal decoding method, and encoder and decoder performing the same MS Lee, J Sung, M Kim, K Zhen US Patent 11,276,413, 2022 | 1 | 2022 |
Hybrid supervised-unsupervised image topic visualization with convolutional neural network and LDA. arXiv K Zhen, M Birla, D Crandall, B Zhang, J Qiu | 1 | 2017 |
Max-margin transducer loss: Improving sequence-discriminative training using a large-margin learning strategy RV Swaminathan, GP Strimel, A Rastrow, H Mallidi, K Zhen, HD Nguyen, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Apparatus and method for speech processing using a densely connected hybrid neural network M Kim, MS Lee, SK Beack, J Sung, TJ Lee, JS Choi, K Zhen US Patent 11,837,220, 2023 | | 2023 |
Method and apparatus for processing audio signal MS Lee, SK Beack, J Sung, TJ Lee, JS Choi, M Kim, K Zhen US Patent 11,790,926, 2023 | | 2023 |
Neural Waveform Coding: Scalability, Efficiency and Psychoacoustic Calibration K Zhen Indiana University, 2021 | | 2021 |
A Hybrid Supervised-unsupervised Method on Image Topic Visualization with Convolutional Neural Network and LDA K Zhen, M Birla, D Crandall, B Zhang, J Qiu arXiv preprint arXiv:1703.05243, 2017 | | 2017 |