| Robust entropy-based endpoint detection for speech recognition in noisy environments
J Shen, J Hung, L Lee
Fifth international conference on spoken language processing
|
407 |
1998 |
| Optimization of temporal filters for constructing robust features in speech recognition
JW Hung, LS Lee
IEEE Transactions on Audio, Speech, and Language Processing 14 (3), 808-832
|
70 |
2006 |
| Speech enhancement using segmental nonnegative matrix factorization
HT Fan, J Hung, X Lu, SS Wang, Y Tsao
2014 IEEE International Conference on Acoustics, Speech and Signal …
|
49 |
2014 |
| Improved MFCC feature extraction by PCA-optimized filter-bank for speech recognition
SM Lee, SH Fang, J Hung, LS Lee
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU …
|
42 |
2001 |
| Automatic metric-based speech segmentation for broadcast news via principal component analysis.
J Hung, H Wang, L Lee
INTERSPEECH, 121-124
|
40 |
2000 |
| New approaches for domain transformation and parameter combination for improved accuracy in parallel model combination (PMC) techniques
J Hung, J Shen, L Lee
IEEE Transactions on Speech and Audio Processing 9 (8), 842-855
|
30 |
2001 |
| Speaker-Aware Deep Denoising Autoencoder with Embedded Speaker Identity for Speech Enhancement.
FK Chuang, SS Wang, J Hung, Y Tsao, SH Fang
Interspeech, 3173-3177
|
26 |
2019 |
| Wavelet speech enhancement based on nonnegative matrix factorization
SS Wang, A Chern, Y Tsao, J Hung, X Lu, YH Lai, B Su
IEEE Signal Processing Letters 23 (8), 1101-1105
|
26 |
2016 |
| Comparative analysis for data-driven temporal filters obtained via principal component analysis (PCA) and linear discriminant analysis (LDA) in speech recognition.
J Hung, H Wang, L Lee
INTERSPEECH, 1959-1962
|
26 |
2001 |
| Improved modulation spectrum enhancement methods for robust speech recognition
J Hung, W Tu, C Lai
Signal Processing 92 (11), 2791-2814
|
25 |
2012 |
| Time-domain multi-modal bone/air conducted speech enhancement
C Yu, KH Hung, SS Wang, Y Tsao, J Hung
IEEE Signal Processing Letters 27, 1035-1039
|
23 |
2020 |
| Optimization of filter-bank to improve the extraction of MFCC features in speech recognition
J Hung
Proceedings of 2004 International Symposium on Intelligent Multimedia, Video …
|
22 |
2004 |
| Improved robustness for speech recognition under noisy conditions using correlated parallel model combination
J Hung, J Shen, L Lee
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …
|
21 |
1998 |
| Subband feature statistics normalization techniques based on a discrete wavelet transform for robust speech recognition
J Hung, HT Fan
IEEE Signal Processing Letters 16 (9), 806-809
|
18 |
2009 |
| Constructing modulation frequency domain-based features for robust speech recognition
JW Hung, WY Tsai
IEEE transactions on audio, speech, and language processing 16 (3), 563-577
|
18 |
2008 |
| Data-driven temporal filters based on multi-eigenvectors for robust features in speech recognition
N Wang, J Hung, L Lee
2003 IEEE International Conference on Acoustics, Speech, and Signal …
|
18 |
2003 |
| Suppression by selecting wavelets for feature compression in distributed speech recognition
SS Wang, P Lin, Y Tsao, JW Hung, B Su
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (3), 564-579
|
16 |
2017 |
| Robust speech recognition via enhancing the complex-valued acoustic spectrum in modulation domain
JW Hung, HJ Hsieh, B Chen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (2), 236-251
|
16 |
2015 |
| Silence Energy Normalization for Robust Speech Recognition in Additive Noise Environment
C Tai, J Hung
Ninth International Conference on Spoken Language Processing
|
15 |
2006 |
| Data-driven temporal filters for robust features in speech recognition obtained via minimum classification error (MCE)
J Hung, L Lee
2002 IEEE International Conference on Acoustics, Speech, and Signal …
|
13 |
2002 |
| Speech enhancement based on reducing the detail portion of speech spectrograms in modulation domain via discretewavelet transform
S Lee, SS Wang, Y Tsao, J Hung
2018 11th International Symposium on Chinese Spoken Language Processing …
|
11 |
2018 |
| Silence feature normalization for robust speech recognition in additive noise environments
C Wang, C Pan, J Hung
Ninth Annual Conference of the International Speech Communication Association
|
11 |
2008 |
| Improved robust speech recognition considering signal correlation approximated by Taylor series
J Shen, J Hung, L Lee
Fifth International Conference on Spoken Language Processing
|
11 |
1998 |
| Employing robust principal component analysis for noise-robust speech feature extraction in automatic speech recognition with the structure of a deep neural network
J Hung, JS Lin, PJ Wu
Applied System Innovation 1 (3), 28
|
10 |
2018 |
| A study on cepstral sub-band normalization for robust ASR
SS Wang, J Hung, Y Tsao
2012 8th International Symposium on Chinese Spoken Language Processing, 141-145
|
10 |
2012 |
| Modulation spectrum factorization for robust speech recognition
WY Chu, JW Hung, B Chen
Proc. APSIPA Annual Summit and Conference (APSIPA ASC)
|
10 |
2011 |
| Sub-band modulation spectrum compensation for robust speech recognition
W Tu, SY Huang, J Hung
2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 261-265
|
10 |
2009 |
| TENET: A time-reversal enhancement network for noise-robust ASR
FA Chao, SWF Jiang, BC Yan, J Hung, B Chen
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 55-61
|
9 |
2021 |
| Exploiting principal component analysis in modulation spectrum enhancement for robust speech recognition
JY Lee, J Hung
2011 eighth international conference on fuzzy systems and knowledge …
|
8 |
2011 |
| Incorporating codebook and utterance information in cepstral statistics normalization techniques for robust speech recognition in additive noise environments
J Hung, W Tu
IEEE Signal Processing Letters 16 (6), 473-476
|
8 |
2009 |
| Incorporating broad phonetic information for speech enhancement
YJ Lu, CF Liao, X Lu, J Hung, Y Tsao
arXiv preprint arXiv:2008.07618
|
7 |
2020 |
| Employing median filtering to enhance the complex-valued acoustic spectrograms in modulation domain for noise-robust speech recognition
HJ Hsieh, B Chen, J Hung
2016 10th International Symposium on Chinese Spoken Language Processing …
|
7 |
2016 |
| Histogram equalization of real and imaginary modulation spectra for noise-robust speech recognition.
HJ Hsieh, B Chen, J Hung
INTERSPEECH, 2997-3001
|
7 |
2013 |
| Cepstral statistics compensation using online pseudo stereo codebooks for robust speech recognition in additive noise environments
J Hung
2006 IEEE International Conference on Acoustics Speech and Signal Processing …
|
7 |
2006 |
| Data-driven temporal filters obtained via different optimization criteria evaluated on AURORA2 database
J Hung, L Lee
Seventh International Conference on Spoken Language Processing
|
7 |
2002 |
| Cross-domain single-channel speech enhancement model with bi-projection fusion module for noise-robust ASR
FA Chao, J Hung, B Chen
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6
|
6 |
2021 |
| Enhancing the sub-band modulation spectra of speech features via nonnegative matrix factorization for robust speech recognition
H Fan, Y Tsai, J Hung
2012 International Conference on System Science and Engineering (ICSSE), 179-182
|
6 |
2012 |
| Cepstral statistics compensation and normalization using online pseudo stereo codebooks for robust speech recognition in additive noise environments
JW Hung
IEICE TRANSACTIONS on Information and Systems 91 (2), 296-311
|
6 |
2008 |
| The study of q-logarithmic modulation spectral normalization for robust speech recognition
H Fan, C Hsu, J Hung
2012 International Conference on System Science and Engineering (ICSSE), 183-186
|
5 |
2012 |
| Improved parallel model combination techniques with split Gaussian mixtures for speech recognition under noisy conditions
J Hung, J Shen, L Lee
1999 IEEE International Conference on Acoustics, Speech, and Signal …
|
5 |
1999 |
| Waveform-based voice activity detection exploiting fully convolutional networks with multi-branched encoders
C Yu, KH Hung, IF Lin, SW Fu, Y Tsao, J Hung
arXiv preprint arXiv:2006.11139
|
4 |
2020 |
| Wavelet Speech Enhancement Based on Robust Principal Component Analysis.
CL Wu, HP Hsu, SS Wang, JW Hung, YH Lai, HM Wang, Y Tsao
INTERSPEECH, 439-443
|
4 |
2017 |
| Enhancing the complex-valued acoustic spectrograms in modulation domain for creating noise-robust features in speech recognition
HJ Hsieh, B Chen, J Hung
2015 Asia-Pacific Signal and Information Processing Association Annual …
|
4 |
2015 |
| Histogram equalization of contextual statistics of speech features for robust speech recognition
HJ Hsieh, B Chen, J Hung
Multimedia Tools and Applications 74, 6769-6795
|
4 |
2015 |
| Enhancing the magnitude spectrum of speech features for robust speech recognition
J Hung, H Fan, W Tu
EURASIP Journal on Advances in Signal Processing 2012 (1), 1-20
|
4 |
2012 |
| Modulation spectrum exponential weighting for robust speech recognition
H Fan, Y Lian, J Hung
2012 12th International Conference on ITS Telecommunications, 812-816
|
4 |
2012 |
| The Evaluation Study of the Deep Learning Model Transformer in Speech Translation
JW Hung, JR Lin, LY Zhuang
2021 7th International Conference on Applied System Innovation (ICASI), 30-33
|
3 |
2021 |
| Distributed microphone speech enhancement based on deep learning
SS Wang, YY Liang, J Hung, Y Tsao, HM Wang, SH Fang
arXiv preprint arXiv:1911.08153
|
3 |
2019 |
| Linear prediction filtering on cepstral time series for noise-robust speech recognition
HJ Hsieh, JH Jheng, J Lin, J Hung
2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 1-2
|
3 |
2016 |
| Magnitude replacement of real and imaginary modulation spectrum of acoustic spectrograms for noise-robust speech recognition
HJ Hsieh, J Hung
2015 IEEE International Conference on Consumer Electronics-Taiwan, 328-329
|
3 |
2015 |
| A preliminary study of emotion recognition employing adaptive Gaussian mixture models with the maximum a posteriori principle
JH Yang, J Hung
2014 International Conference on Information Science, Electronics and …
|
3 |
2014 |
| Entailment Analysis for Improving Chinese Recognizing Textual Entailment System
SS Yang, SH Wu, LP Chen, HS Chiu, RD Yang, J Wu, H Chiu, JS Chang, ...
Computational Linguistics and Chinese Language Processing 18 (4), 1-16
|
3 |
2013 |
| Filtering on the temporal probability sequence in histogram equalization for robust speech recognition
SS Wang, Y Tsao, J Hung
2013 IEEE International Conference on Acoustics, Speech and Signal …
|
3 |
2013 |
| Several New DWT-Based Methods for Noise-RobustSpeech Recognition
JW Hung, HT Fan, SS Wang
International Journal of Innovation, Management and Technology 3 (5), 547
|
3 |
2012 |
| Exploring joint equalization of spatial-temporal contextual statistics of speech features for robust speech recognition
HJ Hsieh, J Hung, B Chen
Thirteenth Annual Conference of the International Speech Communication …
|
3 |
2012 |
| DCT-based processing of dynamic features for robust speech recognition
WC Lin, HT Fan, JW Hung
2010 7th International Symposium on Chinese Spoken Language Processing, 12-17
|
3 |
2010 |
| Improved modulation spectrum normalization techniques for robust speech recognition
C Pan, C Wang, J Hung
2008 IEEE International Conference on Acoustics, Speech and Signal …
|
3 |
2008 |
| Speech feature compensation based on pseudo stereo codebooks for robust speech recognition in additive noise environments
T Hsieh, J Hung
Eighth Annual Conference of the International Speech Communication Association
|
3 |
2007 |
| Speech enhancement guided by contextual articulatory information
YJ Lu, CY Chang, C Yu, CF Liu, J Hung, S Watanabe, Y Tsao
arXiv preprint arXiv:2011.07442
|
2 |
2020 |
| Speech enhancement based on the integration of fully convolutional network, temporal lowpass filtering and spectrogram masking
KY Liu, SS Wang, Y Tsao, J Hung
Proceedings of the 31st Conference on Computational Linguistics and Speech …
|
2 |
2019 |
| Smoothing the acoustic spectral time series of speech signals for noise reduction
YT Chen, JY Lin, KY Liu, J Hung
2019 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 1-2
|
2 |
2019 |
| Spatial histogram equalization of complex-valued acoustic spectra in modulation domain for noise-robust speech recognition
HJ Hsieh, B Chen, J Hung
Signal and Information Processing Association Annual Summit and Conference …
|
2 |
2014 |
| Sliding backstepping control design for robotic manipulator systems with motor dynamics
YY Hsiao, PH Tu, J Hung, JS Lin
11th IEEE International Conference on Control & Automation (ICCA), 667-672
|
2 |
2014 |
| Magnitude spectrum enhancement for robust speech recognition
W Tu, J Hung
2010 IEEE International Conference on Acoustics, Speech and Signal …
|
2 |
2010 |
| Integrating codebook and utterance information in cepstral statistics normalization techniques for robust speech recognition
G He, J Hung
Tenth Annual Conference of the International Speech Communication Association
|
2 |
2009 |
| Improved parallel model combination based on better domain transformation for speech recognition under noisy environments
J Hung, J Shen, L Lee
Fifth International Conference on Spoken Language Processing
|
2 |
1998 |
| A Preliminary Study of Robust Speech Feature Extraction Based on Maximizing the Probability of States in Deep Acoustic Models
LC Chang, JW Hung
Applied System Innovation 5 (4), 71
|
1 |
2022 |
| Improving the performance of DEMUCS in speech enhancement with the perceptual metric loss
ZT Wu, YT Chen, J Hung
2022 IEEE International Conference on Consumer Electronics-Taiwan, 267-268
|
1 |
2022 |
| Leveraging the perceptual metric loss to improve the DEMUCS system in speech enhancement
QW Hong, CE Dai, HC Hsu, ZT Wu, JW Hung
2022 8th International Conference on Applied System Innovation (ICASI), 76-79
|
1 |
2022 |
| The effect of reducing the acoustic-frequency resolution for spectrograms used in deep denoising auto-encoder
YT Chen, ST Tsai, JW Hung
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 1-2
|
1 |
2021 |
| Exponentiated magnitude spectrogram-based relative-to-maximum masking for speech enhancement in adverse environments
CL Lin, ZQ Lin, SS Wang, Y Tsao, JW Hung
2020 IEEE International Conference on Consumer Electronics-Taiwan (ICCE …
|
1 |
2020 |
| An evaluation study of modulation-domain wavelet denoising method by alleviating different sub-band portions for speech enhancement
JY Lin, YT Chen, KY Liu, JW Hung
2019 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 1-2
|
1 |
2019 |
| Speech enhancement via ensemble modeling NMF adaptation
JC Yang, SS Wang, Y Tsao, J Hung
2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 1-2
|
1 |
2016 |
| Leveraging threshold denoising on DCT-based modulation spectrum for noise robust speech recognition
Y Cheng, JS Lin, J Hung
11th IEEE International Conference on Control & Automation (ICCA), 1433-1437
|
1 |
2014 |
| Noise suppression based on nonnegative matrix factorization for robust speech recognition
H Fan, P Lin, J Hung
2014 International Conference on Information Science, Electronics and …
|
1 |
2014 |
| Intra-frame cepstral sub-band weighting and histogram equalization for noise-robust speech recognition
J Hung, H Fan
EURASIP Journal on Audio, Speech, and Music Processing 2013 (1), 1-18
|
1 |
2013 |
| Probabilistic modulation spectrum factorization for robust speech recognition
WY Chu, YC Kao, B Chen, JW Hung
ROCLING 2011 Poster Papers, 194-206
|
1 |
2011 |
| Sub-band feature statistics compensation techniques based on discrete wavelet transform for robust speech recognition
HT Fan, J Hung
2009 IEEE International Conference on Multimedia and Expo, 586-589
|
1 |
2009 |
| Optimization of temporal filters in the modulation frequency domain via constrained linear discriminant analysis (C-LDA) for constructing robust features in speech recognition
J Hung
2007 IEEE International Conference on Acoustics, Speech and Signal …
|
1 |
2007 |
| Proceedings of the 17th Conference on Computational Linguistics and Speech Processing
CH Wu, JT Chien, WH Lu
Proceedings of the 17th Conference on Computational Linguistics and Speech …
|
1 |
2005 |
| Adaptive-FSN: Integrating Full-Band Extraction and Adaptive Sub-Band Encoding for Monaural Speech Enhancement
Y Tsao, KH Ho, J Hung, B Chen
2022 IEEE Spoken Language Technology Workshop (SLT), 458-464
|
|
2023 |
| Bi-Sep: A Multi-Resolution Cross-Domain Monaural Speech Separation Framework
KH Ho, J Hung, B Chen
2022 International Conference on Technologies and Applications of Artificial …
|
|
2022 |
| Investigating Low-Distortion Speech Enhancement with Discrete Cosine Transform Features for Robust Speech Recognition
Y Tsao, J Hung, KH Ho, B Chen
2022 Asia-Pacific Signal and Information Processing Association Annual …
|
|
2022 |
| Exploiting the compressed spectral loss for the learning of the DEMUCS speech enhancement network
CE Dai, QW Hong, J Hung
Proceedings of the 34th Conference on Computational Linguistics and Speech …
|
|
2022 |
| A Preliminary Study of the Application of Discrete Wavelet Transform Features in Conv-TasNet Speech Enhancement Model
YT Chen, ZT Wu, J Hung
Proceedings of the 34th Conference on Computational Linguistics and Speech …
|
|
2022 |
| Exploiting Discrete Cosine Transform Features in Speech Enhancement Technique FullSubNet+
YS Tsao, B Chen, JW Hung
2022 IET International Conference on Engineering Technologies and …
|
|
2022 |
| Improving the efficiency of Dual-path Transformer Network for speech enhancement by reducing the input feature dimensionality
YJ Tang, PY Hsieh, MH Tsai, YT Chen, JW Hung
2022 8th International Conference on Applied System Innovation (ICASI), 80-83
|
|
2022 |
| The preliminary study of improving the DPTNet speech enhancement system by adjusting its encoder and loss function
YY Hsiao, MH Wu, KY Tsai, JW Hung
2022 8th International Conference on Applied System Innovation (ICASI), 64-67
|
|
2022 |
| Time-Reversal Enhancement Network With Cross-Domain Information for Noise-Robust Speech Recognition
FA Chao, JW Hung, T Sheu, B Chen
IEEE MultiMedia 29 (1), 114-124
|
|
2021 |
| 使用低通時序列語音特徵訓練理想比率遮罩法之語音強化 (Employing Low-Pass Filtered Temporal Speech Features for the Training of Ideal Ratio Mask in Speech Enhancement)
YT Chen, J Hung
International Journal of Computational Linguistics & Chinese Language …
|
|
2021 |
| Employing low-pass filtered temporal speech features for the training of ideal ratio mask in speech enhancement
YT Chen, ZQ Lin, J Hung
Proceedings of the 33rd Conference on Computational Linguistics and Speech …
|
|
2021 |
| Exploiting the Non-Uniform Frequency-Resolution Spectrograms to Improve the Deep Denoising Auto-Encoder for Speech Enhancement
JW Hung, ST Tsai, YT Chen
2021 7th International Conference on Applied System Innovation (ICASI), 26-29
|
|
2021 |
| 基於深度聲學模型其狀態精確度最大化之強健語音特徵擷取的初步研究 (The Preliminary Study of Robust Speech Feature Extraction based on Maximizing the Accuracy of States in Deep …
LC Chang, J Hung
International Journal of Computational Linguistics & Chinese Language …
|
|
2020 |
| Lowpass-filtered relative-to-maximum masking for speech enhancement in noise-corrupted environments
ZQ Lin, CL Lin, JW Hung
2020 IEEE International Conference on Consumer Electronics-Taiwan (ICCE …
|
|
2020 |
| Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition
FA Chao, J Hung, B Chen
Proceedings of the 32nd Conference on Computational Linguistics and Speech …
|
|
2020 |
| The preliminary study of robust speech feature extraction based on maximizing the accuracy of states in deep acoustic models
LC Chang, J Hung
Proceedings of the 32nd Conference on Computational Linguistics and Speech …
|
|
2020 |
| 多樣訊雜比之訓練語料於降噪自動編碼器其語音強化功能之初步研究 (A Preliminary Study of Various SNR-level Training Data in the Denoising Auto-encoder (DAE) Technique for Speech …
SK Lee, SS Wang, Y Tsao, J Hung
Proceedings of the 29th Conference on Computational Linguistics and Speech …
|
|
2017 |
| Leveraging nonnegative matrix factorization in processing the temporal modulation spectrum for speech enhancement
SS Wang, JC Yang, Y Tsao, J Hung
2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 1-2
|
|
2016 |
| 雜訊環境下應用線性估測編碼於特徵時序列之強健性語音辨識 (Employing Linear Prediction Coding in Feature Time Sequences for Robust Speech Recognition in Noisy Environments)[In …
H Fan, W Tseng, J Hung
International Journal of Computational Linguistics & Chinese Language …
|
|
2013 |
| Improved DFT-Based Channel Estimation for TDS-OFDM Wireless Communication Systems
JS Lin, IC Liu, SC Yang, J Hung
IEICE transactions on communications 96 (12), 3135-3141
|
|
2013 |
| Modulation spectrum power-law expansion for robust speech recognition
HT Fan, ZH Ye, J Hung
2013 Asia-Pacific Signal and Information Processing Association Annual …
|
|
2013 |
| 分頻式調變頻譜分解於強健性語音辨識 (Sub-band modulation spectrum factorization in robust speech recognition)[In Chinese]
H Fan, Y Cai, J Hung
Proceedings of the 25th Conference on Computational Linguistics and Speech …
|
|
2013 |
| Robustifying cepstral features by mitigating the outlier effect for noisy speech recognition
H Fan, K Hsieh, C Huang, J Hung
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery …
|
|
2013 |
| Overlapped sub-band modulation spectrum normalization techniques for robust speech recognition
H Fan, W Yeh, J Hung
2013 10th International Conference on Fuzzy Systems and Knowledge Discovery …
|
|
2013 |
| 語音辨識使用統計圖等化方法 (Speech Recognition Leveraging Histogram Equalization Methods)[In Chinese]
HJ Hsieh, J Hung, B Chen
International Journal of Computational Linguistics & Chinese Language …
|
|
2012 |
| 改良式統計圖等化法強鍵性語音辨識之研究 (Improved Histogram Equalization Methods for Robust Speech Recognition)[In Chinese]
HJ Hsieh, J Hung, B Chen
Proceedings of the 24th Conference on Computational Linguistics and Speech …
|
|
2012 |
| Leveraging gain normalization for sub-band temporal features in noise-robust speech recognition
HT Fan, J Hung
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery …
|
|
2012 |
| 機率式調變頻譜分解於強健性語音辨識 (Probabilistic Modulation Spectrum Factorization for Robust Speech Recognition)[In Chinese]
WY Chu, YC Kao, B Chen, JW Hung
ROCLING 2011 Poster Papers, 194-206
|
|
2011 |
| Compensating the Speech Features via Discrete Cosine Transform for Robust Speech Recognition (基於離散餘弦轉換之語音特徵的強健性補償法)
HJ Hsieh, WH Tu, J Hung
Proceedings of the 23rd Conference on Computational Linguistics and Speech …
|
|
2011 |
| 機率式調變頻譜分解於強健性語音辨識
WY Chu, YC Kao, B Chen, JW Hung
|
|
2011 |
| Program Committee Co-Chairs
WH Tsai, LC Yu, GW Bian, CH Chang, JS Chang, JS Chang, B Chen, ...
|
|
2011 |
| 最小變異數調變頻譜濾波器於強健性語音辨識之研究 (A Study of Minimum Variance Modulation Filter for Robust Speech Recognition)[In Chinese]
R Hsieh, H Fan, J Hung
Proceedings of the 22nd Conference on Computational Linguistics and Speech …
|
|
2010 |
| 進階式調變頻譜補償法於強健性語音辨識之研究 (Advanced Modulation Spectrum Compensation Techniques for Robust Speech Recognition)[In Chinese]
WJ Yeh, WH Tu, J Hung
Proceedings of the 22nd Conference on Computational Linguistics and Speech …
|
|
2010 |
| 強健性語音辨識中分頻段調變頻譜補償之研究 (A Study of Sub-band Modulation Spectrum Compensation for Robust Speech Recognition)[In Chinese]
S Huang, WH Tu, J Hung
Proceedings of the 21st Conference on Computational Linguistics and Speech …
|
|
2009 |
| 相似度比率式鑑別分析應用於大詞彙連續語音辨識 (Likelihood Ratio Based Discriminant Analysis for Large Vocabulary Continuous Speech Recognition)[In Chinese]
HS Lee, B Chen
Proceedings of the 21st Conference on Computational Linguistics and Speech …
|
|
2009 |
| 併合式倒頻譜統計正規化技術於強健性語音辨識之研究 (A Study of Hybrid-based Cepstral Statistics Normalization Techniques for Robust Speech Recognition)[In Chinese]
G He, WH Tu, J Hung
Proceedings of the 21st Conference on Computational Linguistics and Speech …
|
|
2009 |
| 強健性語音辨識中基於小波轉換之分頻統計補償技術的研究 (A Study of Sub-band Feature Statistics Compensation Techniques Based on a Discrete Wavelet Transform for Robust Speech …
H Fan, WH Tu, J Hung
Proceedings of the 21st Conference on Computational Linguistics and Speech …
|
|
2009 |
| Study of Associative Cepstral Statistics Normalization Techniques for Robust Speech Recognition in Additive Noise Environments
WH Tu, J Hung
International Journal of Computational Linguistics & Chinese Language …
|
|
2009 |
| 強健性語音辨識中能量相關特徵之改良式正規化技術的研究 (Study of the Improved Normalization Techniques of Energy-Related Features for Robust Speech Recognition)[In Chinese]
C Pan, WH Tu, J Hung
Proceedings of the 20th Conference on Computational Linguistics and Speech …
|
|
2008 |
| 調變頻譜正規化法使用於強健語音辨識之研究 (Study of Modulation Spectrum Normalization Techniques for Robust Speech Recognition)[In Chinese]
CC Wang, WH Tu, J Hung
Proceedings of the 20th Conference on Computational Linguistics and Speech …
|
|
2008 |
| 組合式倒頻譜統計正規化法於強健性語音辨識之研究 (Associative Cepstral Statistics Normalization Techniques for Robust Speech Recognition)[In Chinese]
WH Tu, K Wu, J Hung
Proceedings of the 20th Conference on Computational Linguistics and Speech …
|
|
2008 |
| 加成性雜訊環境下運用特徵參數統計補償法於強健性語音辨識 (Feature Statistics Compensation for Robust Speech Recognition in Additive Noise Environments)[In Chinese]
T Hsieh, J Hung
Proceedings of the 19th Conference on Computational Linguistics and Speech …
|
|
2007 |
| 端點偵測技術在強健語音參數擷取之研究 (Study of the Voice Activity Detection Techniques for Robust Speech Feature Extraction)[In Chinese]
WH Tu, J Hung
Proceedings of the 19th Conference on Computational Linguistics and Speech …
|
|
2007 |
| Optimization of Temporal Filters in the Modulation Frequency Domain for Constructing Robust Features in Speech Recognition
J Hung
Eighth Annual Conference of the International Speech Communication Association
|
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2007 |
| Data-driven temporal filters based on maximum mutual information for robust features in speech recognition
YS Huang, J Hung
2004 International Symposium on Chinese Spoken Language Processing, 105-108
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2004 |
| Improved Robust Speech Recognition Considering Signal Correlation Approximated by Taylor Series
S Jia-lin, J Hung, L Lee
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| Reducing noise and reverberation in speech signals via the integration of denoising autoencoder and temporal lowpass filtering
KY Liu, S Lee, SS Wang, Y Tsao, J Hung
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| A NOVEL VOICE ACTIVITY DETECTION APPROACH BASED ON LOW-FREQUENCY SPECTRAL MAGNITUDE FOR SPECTRAL SUBTRACTION IN ROBUST SPEECH RECOGNITION
WH Tu, J Hung
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