Zobrazeno 1 - 10 of 454 pro vyhledávání: '"Hong June Park"'
1
Akademický článek
Speech Emotion Recognition under Noisy Environments with SNR Down to −6 dB Using Multi-Decoder Wave-U-Net
Autor: Hyun-Joon Nam, Hong-June Park
Publikováno v: Applied Sciences, Vol 14, Iss 12, p 5227 (2024)
A speech emotion recognition (SER) model for noisy environments is proposed, by using four band-pass filtered speech waveforms as the model input instead of the simplified input features such as MFCC (Mel Frequency Cepstral Coefficients). The four wa
Externí odkaz: https://doaj.org/article/3c292e7fe6694da4b2272149b74c4a63
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2
Akademický článek
A Light-Weight Autoregressive CNN-Based Frame Level Transducer Decoder for End-to-End ASR
Autor: Hyeon-Kyu Noh, Hong-June Park
Publikováno v: Applied Sciences, Vol 14, Iss 3, p 1300 (2024)
A convolutional neural network (CNN) transducer decoder was proposed to reduce the decoding time of an end-to-end automatic speech recognition (ASR) system while maintaining accuracy. The CNN of 177 k parameters and a kernel size of 6 generates the p
Externí odkaz: https://doaj.org/article/d5b7dddd4da540a58d3a8f095d1a8641
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3
Akademický článek
A Body Channel Communication Technique Utilizing Decision Feedback Equalization
Autor: Ji-Hoon Lee, Jaehyun Ko, Kwangmin Kim, Minsoo Choi, Jae-Yoon Sim, Hong-June Park, Byungsub Kim
Publikováno v: IEEE Access, Vol 8, Pp 198468-198481 (2020)
This article presents the body channel communication technique that first adopts decision feedback equalisation. For the first time, we characterised post-cursor intersymbol interference of a single-bit pulse response of a human body channel for deci
Externí odkaz: https://doaj.org/article/c7d999168ad1489ab267684e22287f39
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5
Akademický článek
A Convolution-Neural-Network Feedforward Active-Noise-Cancellation System on FPGA for In-Ear Headphone
Autor: Young-Jae Jang, Jaehyun Park, Won-Cheol Lee, Hong-June Park
Publikováno v: Applied Sciences, Vol 12, Iss 11, p 5300 (2022)
A real-time streaming feedforward active-noise-cancellation (ANC) system for an in-ear headphone was demonstrated in a real application scenario, by implementing a 10-layer dilated convolutional-neural-network (CNN) on a field programmable gate array
Externí odkaz: https://doaj.org/article/5150b91f77c64ada92282a41962e7261
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8
A Duo-Binary Transceiver With Time-Based Receiver and Voltage-Mode Time-Interleaved Mixing Transmitter for DRAM Interface
Autor: Hye-Jung Kwon, Min-Kyun Chae, Hong-June Park, Seung-Jun Bae, Nam-jong Kim
Publikováno v: IEEE Transactions on Circuits and Systems II: Express Briefs. 68:2409-2413
A duo-binary signaling has been applied to both transmitter and receiver for high-speed low-power DRAM interface. The transmitter consists of a half-rate voltage-mode time-interleaved mixing duo-binary driver and a 2-tap feed-forward equalizer. The v
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c09d7807f6bb8ecfbbdc4ad6d372f7a8
https://doi.org/10.1109/tcsii.2021.3050823
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9
A DFE-Enhanced Phase-Difference Modulation Signaling for Multi-Drop Memory Interfaces
Autor: Jae-Yoon Sim, Hong-June Park, Sooeun Lee, Byungsub Kim, Changyoon Han, Jaeyoung Seo
Publikováno v: IEEE Transactions on Circuits and Systems II: Express Briefs. 68:1862-1866
This brief presents a phase-difference modulation signaling enhanced by decision feedback equalization for multi-drop memory interfaces. The phase-difference modulation signaling enables efficient data communication via a multi-drop channel, but only
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a62e52b9e1852dbb63de2b0c0830ae1
https://doi.org/10.1109/tcsii.2020.3042209
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