Chanwoo Kim
Orcid: 0000-0003-4085-2470Affiliations:
- Samsung Research, Seoul, South Korea
According to our database1,
Chanwoo Kim
authored at least 64 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
On the compression of shallow non-causal ASR models using knowledge distillation and tied-and-reduced decoder for low-latency on-device speech recognition.
CoRR, 2023
Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Self-Supervised Accent Learning for Under-Resourced Accents Using Native Language Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space.
CoRR, 2022
Conformer-Based on-Device Streaming Speech Recognition with KD Compression and Two-Pass Architecture.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Macro-Block Dropout for Improved Regularization in Training End-to-End Speech Recognition Models.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the Interspeech 2022, 2022
Prototypical speaker-interference loss for target voice separation using non-parallel audio samples.
Proceedings of the Interspeech 2022, 2022
2021
Decision Attentive Regularization to Improve Simultaneous Speech Translation Systems.
CoRR, 2021
Convolution-Based Attention Model With Positional Encoding For Streaming Speech Recognition On Embedded Devices.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021
Streaming End-to-End Speech Recognition with Jointly Trained Neural Feature Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
A Comparison of Streaming Models and Data Augmentation Methods for Robust Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
Semi-Supervised Transfer Learning for Language Expansion of End-to-End Speech Recognition Models to Low-Resource Languages.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
HiTNet: Byte-to-BPE Hierarchical Transcription Network for End-to-End Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation.
CoRR, 2020
Utterance Confidence Measure for End-to-End Speech Recognition with Applications to Distributed Speech Recognition Scenarios.
Proceedings of the Interspeech 2020, 2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the Interspeech 2020, 2020
Hierarchical Multi-Stage Word-to-Grapheme Named Entity Corrector for Automatic Speech Recognition.
Proceedings of the Interspeech 2020, 2020
Small Energy Masking for Improved Neural Network Training for End-To-End Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Review of On-Device Fully Neural End-to-End Automatic Speech Recognition Algorithms.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning.
CoRR, 2019
Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition System.
Proceedings of the Interspeech 2019, 2019
Multi-Task Multi-Resolution Char-to-BPE Cross-Attention Decoder for End-to-End Speech Recognition.
Proceedings of the Interspeech 2019, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Power-Law Nonlinearity with Maximally Uniform Distribution Criterion for Improved Neural Network Training in Automatic Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
A Comparative Study of Spatial Speech Separation Techniques to Improve Speech Recognition.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models.
Proceedings of the Interspeech 2018, 2018
Spectral Distortion Model for Training Phase-Sensitive Deep-Neural Networks for Far-Field Speech Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Sound Source Separation Using Phase Difference and Reliable Mask Selection Selection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2017
Proceedings of the Interspeech 2017, 2017
Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home.
Proceedings of the Interspeech 2017, 2017
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017
2016
IEEE ACM Trans. Audio Speech Lang. Process., 2016
A Subband-Based Stationary-Component Suppression Method Using Harmonics and Power Ratio for Reverberant Speech Recognition.
IEEE Signal Process. Lett., 2016
2014
Robust speech recognition in reverberant environments using subband-based steady-state monaural and binaural suppression.
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the INTERSPEECH 2014, 2014
2012
Two-microphone source separation algorithm based on statistical modeling of angle distributions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Automatic selection of thresholds for signal separation algorithms based on interaural delay.
Proceedings of the INTERSPEECH 2010, 2010
Proceedings of the INTERSPEECH 2010, 2010
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Feature extraction for robust speech recognition using a power-law nonlinearity and power-bias subtraction.
Proceedings of the INTERSPEECH 2009, 2009
Signal separation for robust speech recognition based on phase difference information obtained in the frequency domain.
Proceedings of the INTERSPEECH 2009, 2009
Power function-based power distribution normalization algorithm for robust speech recognition.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009
2008
Robust signal-to-noise ratio estimation based on waveform amplitude distribution analysis.
Proceedings of the INTERSPEECH 2008, 2008
2006
Physiologically-motivated synchrony-based processing for robust automatic speech recognition.
Proceedings of the INTERSPEECH 2006, 2006