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2020 – today
- 2024
[j21]Aye Nyein Aung
, Che-Wei Liao, Jeih-Weih Hung:
Effective Monoaural Speech Separation through Convolutional Top-Down Multi-View Network. Future Internet 16(5): 151 (2024)- [c85]Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
What Do Neural Networks Listen to? Exploring the Crucial Bands in Speech Enhancement Using SINC-Convolution. ICASSP 2024: 10406-10410 - [i11]Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
What do neural networks listen to? Exploring the crucial bands in Speech Enhancement using Sinc-convolution. CoRR abs/2403.01785 (2024) - [i10]Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning. CoRR abs/2403.01792 (2024) - 2023
- [j20]Yen-Ju Lu, Chia-Yu Chang, Cheng Yu, Ching-Feng Liu, Jeih-weih Hung, Shinji Watanabe, Yu Tsao:
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2738-2750 (2023) - [c84]Chi-En Dai, Jia-Xuan Zeng, Wan-Ling Zeng, Eric S. Li, Jeih-Weih Hung:
Improving the performance of CMGAN in speech enhancement with the phone fortified perceptual loss. ICCE-Taiwan 2023: 459-460 - [c83]Zong-Tai Wu, Pei-Fang Li, Ping-Chen Wu, Eric S. Li, Jeih-Weih Hung:
Exploiting Discrete Wavelet Transform Features in Speech Enhancement Technique Adaptive FullSubNet+. ICCE-Taiwan 2023: 461-462 - [c82]Kuan-Hsun Ho, Jeih-Weih Hung, Berlin Chen:
ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning. DSP 2023: 1-5 - [c81]Kuan-Hsun Ho, En-Lun Yu, Jeih-Weih Hung, Berlin Chen:
NAaLOSS: Rethinking the Objective of Speech Enhancement. MLSP 2023: 1-6 - [i9]Kuan-Hsun Ho, En-Lun Yu, Jeih-weih Hung, Berlin Chen:
Naaloss: Rethinking the objective of speech enhancement. CoRR abs/2308.12615 (2023) - 2022
- [j19]Fu-An Chao, Jeih-Weih Hung, Tommy Sheu, Berlin Chen:
Time-Reversal Enhancement Network With Cross-Domain Information for Noise-Robust Speech Recognition. IEEE Multim. 29(1): 114-124 (2022) - [c80]Zong-Tai Wu, Yan-Tong Chen, Jeih-weih Hung:
Improving the performance of DEMUCS in speech enhancement with the perceptual metric loss. ICCE-TW 2022: 267-268 - [c79]Che-Wei Liao, Ping-Chen Wu, Jeih-weih Hung:
A Preliminary Study of Employing Lowpass-Filtered and Time-Reversed Feature Sequences as Data Augmentation for Speech Enhancement Deep Networks. ISPACS 2022: 1-4 - [c78]Yan-Tong Chen, Zong-Tai Wu, Jeih-Weih Hung:
A Preliminary Study of the Application of Discrete Wavelet Transform Features in Conv-TasNet Speech Enhancement Model. ROCLING 2022: 92-99 - [c77]Chi-En Dai, Qi-Wei Hong, Jeih-Weih Hung:
Exploiting the compressed spectral loss for the learning of the DEMUCS speech enhancement network. ROCLING 2022: 100-106 - [c76]Yu-sheng Tsao, Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
Adaptive-FSN: Integrating Full-Band Extraction and Adaptive Sub-Band Encoding for Monaural Speech Enhancement. SLT 2022: 458-464 - [c75]Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen:
Bi-Sep: A Multi-Resolution Cross-Domain Monaural Speech Separation Framework. TAAI 2022: 72-77 - 2021
- [c74]Fu-An Chao, Shao-Wei Fan-Jiang, Bi-Cheng Yan, Jeih-weih Hung, Berlin Chen:
TENET: A Time-Reversal Enhancement Network for Noise-Robust ASR. ASRU 2021: 55-61 - [c73]Yan-Tong Chen, Shu-Ting Tsai, Jeih-Weih Hung:
The effect of reducing the acoustic-frequency resolution for spectrograms used in deep denoising auto-encoder. ICCE-TW 2021: 1-2 - [c72]Fu-An Chao, Jeih-weih Hung, Berlin Chen:
Cross-Domain Single-Channel Speech Enhancement Model with BI-Projection Fusion Module for Noise-Robust ASR. ICME 2021: 1-6 - [c71]Yan-Tong Chen, Zi-Qiang Lin, Jeih-Weih Hung:
Employing low-pass filtered temporal speech features for the training of ideal ratio mask in speech enhancement. ROCLING 2021: 236-242 - [i8]Fu-An Chao, Shao-Wei Fan-Jiang, Bi-Cheng Yan, Jeih-weih Hung, Berlin Chen:
TENET: A Time-reversal Enhancement Network for Noise-robust ASR. CoRR abs/2107.01531 (2021) - [i7]Fu-An Chao, Jeih-weih Hung, Berlin Chen:
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR. CoRR abs/2108.11598 (2021) - 2020
- [j18]Cheng Yu, Kuo-Hsuan Hung, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
Time-Domain Multi-Modal Bone/Air Conducted Speech Enhancement. IEEE Signal Process. Lett. 27: 1035-1039 (2020) - [c70]Zi-Qiang Lin, Chen-Li Lin, Jeih-Weih Hung:
Lowpass-filtered relative-to-maximum masking for speech enhancement in noise-corrupted environments. ICCE-TW 2020: 1-2 - [c69]Chen-Li Lin, Zi-Qiang Lin, Syu-Siang Wang, Yu Tsao, Jeih-Weih Hung:
Exponentiated magnitude spectrogram-based relative-to-maximum masking for speech enhancement in adverse environments. ICCE-TW 2020: 1-2 - [c68]Yen-Ju Lu, Chien-Feng Liao, Xugang Lu, Jeih-weih Hung, Yu Tsao:
Incorporating Broad Phonetic Information for Speech Enhancement. INTERSPEECH 2020: 2417-2421 - [c67]Li-chia Chang, Jeih-weih Hung:
The preliminary study of robust speech feature extraction based on maximizing the accuracy of states in deep acoustic models. ROCLING 2020: 118-119 - [c66]Fu-An Chao, Jeih-weih Hung, Berlin Chen:
Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition. ROCLING 2020: 120-135 - [i6]Yen-Ju Lu, Chien-Feng Liao, Xugang Lu, Jeih-weih Hung, Yu Tsao:
Incorporating Broad Phonetic Information for Speech Enhancement. CoRR abs/2008.07618 (2020) - [i5]Yen-Ju Lu, Chia-Yu Chang, Yu Tsao, Jeih-weih Hung:
Speech enhancement guided by contextual articulatory information. CoRR abs/2011.07442 (2020)
2010 – 2019
- 2019
- [c65]Yan-Tong Chen, Jian-Yu Lin, Kuan-Yi Liu, Jeih-weih Hung:
Smoothing the acoustic spectral time series of speech signals for noise reduction. ICCE-TW 2019: 1-2 - [c64]Jian-Yu Lin, Yan-Tong Chen, Kuan-Yi Liu, Jeih-Weih Hung:
An evaluation study of modulation-domain wavelet denoising method by alleviating different sub-band portions for speech enhancement. ICCE-TW 2019: 1-2 - [c63]Fu-Kai Chuang, Syu-Siang Wang, Jeih-weih Hung, Yu Tsao, Shih-Hau Fang:
Speaker-Aware Deep Denoising Autoencoder with Embedded Speaker Identity for Speech Enhancement. INTERSPEECH 2019: 3173-3177 - [c62]Kuan-Yi Liu, Syu-Siang Wang, Yu Tsao, Jeih-Weih Hung:
Speech enhancement based on the integration of fully convolutional network, temporal lowpass filtering and spectrogram masking. ROCLING 2019: 226-240 - [i4]Syu-Siang Wang, Yu-You Liang, Jeih-weih Hung, Yu Tsao, Hsin-Min Wang, Shih-Hau Fang:
Distributed Microphone Speech Enhancement based on Deep Learning. CoRR abs/1911.08153 (2019) - [i3]Cheng Yu, Yan-Ting Lin, Kuo-Hsuan Hung, Syu-Siang Wang, Szu-Wei Fu, Yu Tsao, Jeih-weih Hung:
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement. CoRR abs/1911.09847 (2019) - 2018
- [j17]Syu-Siang Wang, Payton Lin, Yu Tsao, Jeih-Weih Hung, Borching Su:
Suppression by Selecting Wavelets for Feature Compression in Distributed Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 26(3): 564-579 (2018) - [c61]Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
Speech Enhancement Based on Reducing the Detail Portion of Speech Spectrograms in Modulation Domain via DiscreteWavelet Transform. ISCSLP 2018: 16-20 - [i2]Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
Speech Enhancement Based on Reducing the Detail Portion of Speech Spectrograms in Modulation Domain via Discrete Wavelet Transform. CoRR abs/1811.03486 (2018) - 2017
- [c60]Chia-Lung Wu, Hsiang-Ping Hsu, Syu-Siang Wang, Jeih-Weih Hung, Ying-Hui Lai, Hsin-Min Wang, Yu Tsao:
Wavelet Speech Enhancement Based on Robust Principal Component Analysis. INTERSPEECH 2017: 439-443 - [c59]Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung:
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 Enhancement) [In Chinese]. ROCLING 2017: 101-113 - 2016
- [j16]Syu-Siang Wang, Alan Chern, Yu Tsao, Jeih-weih Hung, Xugang Lu, Ying-Hui Lai, Borching Su:
Wavelet Speech Enhancement Based on Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 23(8): 1101-1105 (2016) - [j15]Jeih-Weih Hung, Hsin-Ju Hsieh, Berlin Chen:
Robust Speech Recognition via Enhancing the Complex-Valued Acoustic Spectrum in Modulation Domain. IEEE ACM Trans. Audio Speech Lang. Process. 24(2): 236-251 (2016) - [c58]Hsin-Ju Hsieh, Jhih-Hao Jheng, Jung-Shan Lin, Jeih-Weih Hung:
Linear prediction filtering on cepstral time series for noise-robust speech recognition. ICCE-TW 2016: 1-2 - [c57]Syu-Siang Wang, Jeremy Chiaming Yang, Yu Tsao, Jeih-weih Hung:
Leveraging nonnegative matrix factorization in processing the temporal modulation spectrum for speech enhancement. ICCE-TW 2016: 1-2 - [c56]Jeremy Chiaming Yang, Syu-Siang Wang, Yu Tsao, Jeih-Weih Hung:
Speech enhancement via ensemble modeling NMF adaptation. ICCE-TW 2016: 1-2 - [c55]Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung:
Employing median filtering to enhance the complex-valued acoustic spectrograms in modulation domain for noise-robust speech recognition. ISCSLP 2016: 1-5 - [i1]Syu-Siang Wang, Alan Chern, Yu Tsao, Jeih-Weih Hung, Xugang Lu, Ying-Hui Lai, Borching Su:
Wavelet speech enhancement based on nonnegative matrix factorization. CoRR abs/1601.02309 (2016) - 2015
- [j14]Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung:
Histogram equalization of contextual statistics of speech features for robust speech recognition. Multim. Tools Appl. 74(17): 6769-6795 (2015) - [c54]Hsin-Ju Hsieh, Berlin Chen, Jeih-Weih Hung:
Enhancing the complex-valued acoustic spectrograms in modulation domain for creating noise-robust features in speech recognition. APSIPA 2015: 303-307 - [c53]Hsin-Ju Hsieh, Jeih-weih Hung:
Magnitude replacement of real and imaginary modulation spectrum of acoustic spectrograms for noise-robust speech recognition. ICCE-TW 2015: 328-329 - 2014
- [c52]Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung:
Spatial histogram equalization of complex-valued acoustic spectra in modulation domain for noise-robust speech recognition. APSIPA 2014: 1-6 - [c51]Hao-Teng Fan, Jeih-weih Hung, Xugang Lu, Syu-Siang Wang, Yu Tsao:
Speech enhancement using segmental nonnegative matrix factorization. ICASSP 2014: 4483-4487 - [c50]Ya-Yun Hsiao, Po-Hsien Tu, Jeih-Weih Hung, Jung-Shan Lin:
Sliding backstepping control design for robotic manipulator systems with motor dynamics. ICCA 2014: 667-672 - [c49]Yen-chih Cheng, Jun-Shan Lin, Jeih-weih Hung:
Leveraging threshold denoising on DCT-based modulation spectrum for noise robust speech recognition. ICCA 2014: 1433-1437 - 2013
- [j13]Jeih-weih Hung, Hao-Teng Fan:
Intra-frame cepstral sub-band weighting and histogram equalization for noise-robust speech recognition. EURASIP J. Audio Speech Music. Process. 2013: 29 (2013) - [j12]Jung-Shan Lin, I-Cheng Liu, Shih-Chun Yang, Jeih-weih Hung:
Improved DFT-Based Channel Estimation for TDS-OFDM Wireless Communication Systems. IEICE Trans. Commun. 96-B(12): 3135-3141 (2013) - [j11]Hao-Teng Fan, Wen-Yu Tseng, Jeih-weih Hung:
Employing Linear Prediction Coding in Feature Time Sequences for Robust Speech Recognition in Noisy Environments. Int. J. Comput. Linguistics Chin. Lang. Process. 18(4) (2013) - [c48]Hao-Teng Fan, Zi-Hao Ye, Jeih-Weih Hung:
Modulation spectrum power-law expansion for robust speech recognition. APSIPA 2013: 1-5 - [c47]Hao-Teng Fan, Kuan-wei Hsieh, Chien-Hao Huang, Jeih-weih Hung:
Robustifying cepstral features by mitigating the outlier effect for noisy speech recognition. FSKD 2013: 935-939 - [c46]Hao-Teng Fan, Wei-Jeih Yeh, Jeih-weih Hung:
Overlapped sub-band modulation spectrum normalization techniques for robust speech recognition. FSKD 2013: 1035-1039 - [c45]Syu-Siang Wang, Yu Tsao, Jeih-Weih Hung:
Filtering on the temporal probability sequence in histogram equalization for robust speech recognition. ICASSP 2013: 7112-7116 - [c44]Hsin-Ju Hsieh, Berlin Chen, Jeih-weih Hung:
Histogram equalization of real and imaginary modulation spectra for noise-robust speech recognition. INTERSPEECH 2013: 2997-3001 - [c43]Hao-Teng Fan, Yi-zhang Cai, Jeih-weih Hung:
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]. ROCLING 2013 - [c42]Hao-Teng Fan, Wen-Yu Tseng, Jeih-weih Hung:
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 Chinese]. ROCLING 2013 - 2012
- [j10]Jeih-Weih Hung, Hao-Teng Fan, Wen-Hsiang Tu:
Enhancing the Magnitude Spectrum of Speech Features for Robust Speech Recognition. EURASIP J. Adv. Signal Process. 2012: 189 (2012) - [j9]Hsin-Ju Hsieh, Jeih-Weih Hung, Berlin Chen:
Speech Recognition Leveraging Histogram Equalization Methods. Int. J. Comput. Linguistics Chin. Lang. Process. 17(4) (2012) - [j8]Jeih-Weih Hung, Wen-Hsiang Tu, Chien-chou Lai:
Improved modulation spectrum enhancement methods for robust speech recognition. Signal Process. 92(11): 2791-2814 (2012) - [c41]Hao-Teng Fan, Jeih-Weih Hung:
Leveraging gain normalization for sub-band temporal features in noise-robust speech recognition. FSKD 2012: 1409-1412 - [c40]Hsin-Ju Hsieh, Jeih-Weih Hung, Berlin Chen:
Exploring Joint Equalization of Spatial-Temporal Contextual Statistics of Speech Features for Robust Speech Recognition. INTERSPEECH 2012: 2622-2625 - [c39]Syu-Siang Wang, Jeih-Weih Hung, Yu Tsao:
A study on cepstral sub-band normalization for robust ASR. ISCSLP 2012: 141-145 - [c38]Hao-Teng Fan, Yi-cheng Lian, Jeih-weih Hung:
Modulation spectrum exponential weighting for robust speech recognition. ITST 2012: 812-816 - [c37]Hsin-Ju Hsieh, Jeih-Weih Hung, Berlin Chen:
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]. ROCLING 2012 - 2011
- [c36]Jan-Yee Lee, Jeih-Weih Hung:
Exploiting principal component analysis in modulation spectrum enhancement for robust speech recognition. FSKD 2011: 1947-1951 - [c35]Hsin-Ju Hsieh, Wen-Hsiang Tu, Jeih-Weih Hung:
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). ROCLING 2011: 21-42 - [c34]Wen-Yi Chu, Yu-Chen Kao, Berlin Chen, Jeih-Weih Hung:
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]. ROCLING (Posters) 2011: 194-206 - 2010
- [c33]Wen-Hsiang Tu, Jeih-Weih Hung:
Magnitude spectrum enhancement for robust speech recognition. ICASSP 2010: 4586-4589 - [c32]Wen-Chi Lin, Hao-Teng Fan, Jeih-weih Hung:
DCT-based processing of dynamic features for robust speech recognition. ISCSLP 2010: 12-17 - [c31]Ren-hau Hsieh, Hao-Teng Fan, Jeih-Weih Hung:
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]. ROCLING 2010 - [c30]Wei-Jeih Yeh, Wen-Hsiang Tu, Jeih-Weih Hung:
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]. ROCLING 2010
2000 – 2009
- 2009
- [j7]Wen-Hsiang Tu, Jeih-Weih Hung:
Study of Associative Cepstral Statistics Normalization Techniques for Robust Speech Recognition in Additive Noise Environments. Int. J. Comput. Linguistics Chin. Lang. Process. 14(1) (2009) - [j6]Jeih-weih Hung, Wen-Hsiang Tu:
Incorporating Codebook and Utterance Information in Cepstral Statistics Normalization Techniques for Robust Speech Recognition in Additive Noise Environments. IEEE Signal Process. Lett. 16(6): 473-476 (2009) - [j5]Jeih-Weih Hung, Hao-Teng Fan:
Subband Feature Statistics Normalization Techniques Based on a Discrete Wavelet Transform for Robust Speech Recognition. IEEE Signal Process. Lett. 16(9): 806-809 (2009) - [c29]Wen-Hsiang Tu, Sheng-Yuan Huang, Jeih-Weih Hung:
Sub-band modulation spectrum compensation for robust speech recognition. ASRU 2009: 261-265 - [c28]Hao-Teng Fan, Jeih-Weih Hung:
Sub-band feature statistics compensation techniques based on discrete wavelet transform for robust speech recognition. ICME 2009: 586-589 - [c27]Guan-min He, Jeih-Weih Hung:
Integrating codebook and utterance information in cepstral statistics normalization techniques for robust speech recognition. INTERSPEECH 2009: 1239-1242 - [c26]Hao-Teng Fan, Wen-Hsiang Tu, Jeih-weih Hung:
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 Recognition) [In Chinese]. ROCLING 2009 - [c25]Guan-min He, Wen-Hsiang Tu, Jeih-weih Hung:
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]. ROCLING 2009 - [c24]Sheng-Yuan Huang, Wen-Hsiang Tu, Jeih-weih Hung:
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]. ROCLING 2009 - 2008
- [j4]Jeih-Weih Hung:
Cepstral Statistics Compensation and Normalization Using Online Pseudo Stereo Codebooks for Robust Speech Recognition in Additive Noise Environments. IEICE Trans. Inf. Syst. 91-D(2): 296-311 (2008) - [j3]Jeih-Weih Hung, Wei-Yi Tsai:
Constructing Modulation Frequency Domain-Based Features for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 16(3): 563-577 (2008) - [c23]Chi-an Pan, Chih-Cheng Wang, Jeih-Weih Hung:
Improved modulation spectrum normalization techniques for robust speech recognition. ICASSP 2008: 4089-4092 - [c22]Chih-Cheng Wang, Chi-an Pan, Jeih-Weih Hung:
Silence feature normalization for robust speech recognition in additive noise environments. INTERSPEECH 2008: 1028-1031 - [c21]Chi-an Pan, Wen-Hsiang Tu, Jeih-weih Hung:
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]. ROCLING 2008 - [c20]Wen-Hsiang Tu, Kuang-chieh Wu, Jeih-weih Hung:
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]. ROCLING 2008 - [c19]Chih-Cheng Wang, Wen-Hsiang Tu, Jeih-weih Hung:
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]. ROCLING 2008 - 2007
- [c18]Jeih-weih Hung:
Optimization of Temporal Filters in the Modulation Frequency Domain via Constrained Linear Discriminant Analysis (C-LDA) for Constructing Robust Features in Speech Recognition. ICASSP (4) 2007: 805-808 - [c17]Tsung-hsueh Hsieh, Jeih-Weih Hung:
Speech feature compensation based on pseudo stereo codebooks for robust speech recognition in additive noise environments. INTERSPEECH 2007: 242-245 - [c16]Jeih-Weih Hung:
Optimization of temporal filters in the modulation frequency domain for constructing robust features in speech recognition. INTERSPEECH 2007: 1090-1093 - [c15]Tsung-hsueh Hsieh, Jeih-Weih Hung:
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]. ROCLING 2007 - [c14]Wen-Hsiang Tu, Jeih-weih Hung:
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]. ROCLING 2007 - 2006
- [j2]Jeih-Weih Hung, Lin-Shan Lee:
Optimization of temporal filters for constructing robust features in speech recognition. IEEE Trans. Speech Audio Process. 14(3): 808-832 (2006) - [c13]Jeih-weih Hung:
Cepstral Statistics Compensation Using Online Pseudo Stereo Codebooks for Robust Speech Recognition in Additive Noise Environments. ICASSP (1) 2006: 513-516 - [c12]Chung-fu Tai, Jeih-Weih Hung:
Silence energy normalization for robust speech recognition in additive noise environment. INTERSPEECH 2006 - 2004
- [c11]Yung-Sheng Huang, Jeih-Weih Hung:
Data-driven temporal filters based on maximum mutual information for robust features in speech recognition. ISCSLP 2004: 105-108 - 2003
- [c10]Ni-Chun Wang, Jeih-Weih Hung, Lin-Shan Lee:
Data-driven temporal filters based on multi-eigenvectors for robust features in speech recognition. ICASSP (1) 2003: 400-403 - 2002
- [c9]Jeih-Weih Hung, Lin-Shan Lee:
Data-driven temporal filters for robust features in speech recognition obtained via Minimum Classification Error (MCE). ICASSP 2002: 373-376 - [c8]Jeih-Weih Hung, Lin-Shan Lee:
Data-driven temporal filters obtained via different optimization criteria evaluated on Aurora2 database. INTERSPEECH 2002: 441-444 - 2001
- [j1]Jeih-Weih Hung, Jia-Lin Shen, Lin-Shan Lee:
New approaches for domain transformation and parameter combination for improved accuracy in parallel model combination (PMC) techniques. IEEE Trans. Speech Audio Process. 9(8): 842-855 (2001) - [c7]Jeih-Weih Hung, Hsin-Min Wang, Lin-Shan Lee:
Comparative analysis for data-driven temporal filters obtained via principal component analysis (PCA) and linear discriminant analysis (LDA) in speech recognition. INTERSPEECH 2001: 1959-1962 - 2000
- [c6]Jeih-Weih Hung, Hsin-Min Wang, Lin-Shan Lee:
Automatic metric-based speech segmentation for broadcast news via principal component analysis. INTERSPEECH 2000: 121-124
1990 – 1999
- 1999
- [c5]Jeih-weih Hung, Jia-Lin Shen, Lin-Shan Lee:
Improved parallel model combination techniques with split Gaussian mixtures for speech recognition under noisy conditions. ICASSP 1999: 437-440 - 1998
- [c4]Jeih-Weih Hung, Jia-Lin Shen, Lin-Shan Lee:
Improved robustness for speech recognition under noisy conditions using correlated parallel model combination. ICASSP 1998: 553-556 - [c3]Jeih-Weih Hung, Jia-Lin Shen, Lin-Shan Lee:
Improved parallel model combination based on better domain transformation for speech recognition under noisy environments. ICSLP 1998 - [c2]Jia-Lin Shen, Jeih-Weih Hung, Lin-Shan Lee:
Improved robust speech recognition considering signal correlation approximated by taylor series. ICSLP 1998 - [c1]Jia-Lin Shen, Jeih-Weih Hung, Lin-Shan Lee:
Robust entropy-based endpoint detection for speech recognition in noisy environments. ICSLP 1998
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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