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2020 – today
- 2024
[j31]Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry:
Accurate synthesis of dysarthric Speech for ASR data augmentation. Speech Commun. 164: 103112 (2024)- 2023
- [j30]Rahim Soleymanpour
, Mohammad Soleymanpour, Anthony J. Brammer, Michael T. Johnson, Insoo Kim:
Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments. IEEE Access 11: 5328-5336 (2023) - [i7]Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry:
Accurate synthesis of Dysarthric Speech for ASR data augmentation. CoRR abs/2308.08438 (2023) - 2022
- [c49]Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry:
Synthesizing Dysarthric Speech Using Multi-Speaker Tts For Dysarthric Speech Recognition. ICASSP 2022: 7382-7386 - [i6]Mohammad Soleymanpour, Michael T. Johnson, Rahim Soleymanpour, Jeffrey Berry:
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition. CoRR abs/2201.11571 (2022) - 2021
- [c48]Subash Khanal, Michael T. Johnson, Narjes Bozorg:
Articulatory Comparison of L1 and L2 Speech for Mispronunciation Diagnosis. SLT 2021: 693-697 - [c47]Mohammad Soleymanpour, Michael T. Johnson, Jeffrey Berry:
Increasing the Precision of Dysarthric Speech Intelligibility and Severity Level Estimate. SPECOM 2021: 670-679 - [c46]Mohammad Soleymanpour, Michael T. Johnson, Jeffrey Berry:
Dysarthric Speech Augmentation Using Prosodic Transformation and Masking for Subword End-to-end ASR. SpeD 2021: 42-46 - [c45]Mohammad Soleymanpour, Michael T. Johnson, Jeffrey Berry:
Comparison in Suprasegmental Characteristics between Typical and Dysarthric Talkers at Varying Severity Levels. SpeD 2021: 52-56 - [c44]Subash Khanal, Michael T. Johnson, Mohammad Soleymanpour, Narjes Bozorg:
Mispronunciation Detection and Diagnosis for Mandarin Accented English Speech. SpeD 2021: 62-67 - [c43]Narjes Bozorg, Michael T. Johnson, Mohammad Soleymanpour:
Autoregressive Articulatory WaveNet Flow for Speaker-Independent Acoustic-to-Articulatory Inversion. SpeD 2021: 156-161 - [i5]Yuzi Yan, Wei-Qiang Zhang, Michael T. Johnson:
Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement. CoRR abs/2108.12105 (2021) - 2020
- [j29]Qiyue Wang, Wenhua Jiao, Rui Yu, Michael T. Johnson, YuMing Zhang:
Virtual Reality Robot-Assisted Welding Based on Human Intention Recognition. IEEE Trans Autom. Sci. Eng. 17(2): 799-808 (2020) - [c42]Jiaqi Xie, Ruijie Yan, Shanyu Xiao, Liangrui Peng, Michael T. Johnson, Wei-Qiang Zhang:
Dynamic Temporal Residual Learning for Speech Recognition. ICASSP 2020: 7709-7713 - [c41]Narjes Bozorg, Michael T. Johnson:
Acoustic-to-Articulatory Inversion with Deep Autoregressive Articulatory-WaveNet. INTERSPEECH 2020: 3725-3729 - [i4]Narjes Bozorg, Michael T. Johnson:
Articulatory-WaveNet: Autoregressive Model For Acoustic-to-Articulatory Inversion. CoRR abs/2006.12594 (2020)
2010 – 2019
- 2019
- [j28]Liang He, Xianhong Chen, Can Xu, Yi Liu, Jia Liu, Michael T. Johnson:
Latent class model with application to speaker diarization. EURASIP J. Audio Speech Music. Process. 2019: 12 (2019) - [j27]Ruijie Yan, Liangrui Peng, Shanyu Xiao, Michael T. Johnson, Shengjin Wang:
Dynamic temporal residual network for sequence modeling. Int. J. Document Anal. Recognit. 22(3): 235-246 (2019) - [j26]Qiyue Wang, Wenhua Jiao, Rui Yu, Michael T. Johnson, YuMing Zhang:
Modeling of Human Welders' Operations in Virtual Reality Human-Robot Interaction. IEEE Robotics Autom. Lett. 4(3): 2958-2964 (2019) - [c40]Narjes Bozorg, Michael T. Johnson:
MLLR-PRSW for Kinematic-Independent Acoustic-to-Articulatory Inversion. ISSPIT 2019: 1-5 - [c39]Narjes Bozorg, Michael T. Johnson, Jeffrey J. Berry:
Comparing Articulatory Consistency Between Native and Second Language Speakers. ISSPIT 2019: 1-5 - 2018
- [j25]Jian Kang, Wei-Qiang Zhang, Wei-Wei Liu, Jia Liu, Michael T. Johnson:
Advanced recurrent network-based hybrid acoustic models for low resource speech recognition. EURASIP J. Audio Speech Music. Process. 2018: 6 (2018) - [j24]Liang He, Xianhong Chen, Can Xu, Jia Liu, Michael T. Johnson:
Local Pairwise Linear Discriminant Analysis for Speaker Verification. IEEE Signal Process. Lett. 25(10): 1575-1579 (2018) - [j23]Jian Kang, Wei-Qiang Zhang, Wei-Wei Liu, Jia Liu, Michael T. Johnson:
Lattice Based Transcription Loss for End-to-End Speech Recognition. J. Signal Process. Syst. 90(7): 1013-1023 (2018) - [c38]Yi Liu, Liang He, Wei-Qiang Zhang, Jia Liu, Michael T. Johnson:
Investigation of Frame Alignments for GMM-based Digit-prompted Speaker Verification. APSIPA 2018: 1467-1472 - [c37]Sidrah Liaqat, Narjes Bozorg, Neenu Jose, Patrick Conrey, Antony Tamasi, Michael T. Johnson:
Domain tuning methods for bird audio detection. DCASE 2018: 163-167 - [c36]Yi Liu, Liang He, Jia Liu, Michael T. Johnson:
Speaker Embedding Extraction with Phonetic Information. INTERSPEECH 2018: 2247-2251 - [c35]Narjes Bozorg, Michael T. Johnson:
Comparing performance of acoustic-to-articulatory inversion for mandarin accented english and american english speakers. ISSPIT 2018: 1-5 - [i3]Yi Liu, Liang He, Jia Liu, Michael T. Johnson:
Speaker Embedding Extraction with Phonetic Information. CoRR abs/1804.04862 (2018) - 2017
- [c34]Yi Liu, Liang He, Yao Tian, Zhuzi Chen, Jia Liu, Michael T. Johnson:
Comparison of multiple features and modeling methods for text-dependent speaker verification. ASRU 2017: 629-636 - [i2]Yi Liu, Liang He, Yao Tian, Zhuzi Chen, Jia Liu, Michael T. Johnson:
Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification. CoRR abs/1707.04373 (2017) - [i1]Yi Liu, Liang He, Jia Liu, Michael T. Johnson:
Investigation of Frame Alignments for GMM-based Text-prompted Speaker Verification. CoRR abs/1710.10436 (2017) - 2016
- [j22]Xu-Kui Yang, Liang He, Dan Qu, Wei-Qiang Zhang, Michael T. Johnson:
Semi-supervised feature selection for audio classification based on constraint compensated Laplacian score. EURASIP J. Audio Speech Music. Process. 2016: 9 (2016) - [j21]An Ji, Michael T. Johnson, Jeffrey J. Berry:
Parallel Reference Speaker Weighting for Kinematic-Independent Acoustic-to-Articulatory Inversion. IEEE ACM Trans. Audio Speech Lang. Process. 24(10): 1865-1875 (2016) - [j20]Wei-Wei Liu, Meng Cai, Wei-Qiang Zhang, Jia Liu, Michael T. Johnson:
Discriminative Boosting Algorithm for Diversified Front-End Phonotactic Language Recognition. J. Signal Process. Syst. 82(2): 229-239 (2016) - 2015
- [c33]Yi Liu, Yao Tian, Liang He, Jia Liu, Michael T. Johnson:
Simultaneous utilization of spectral magnitude and phase information to extract supervectors for speaker verification anti-spoofing. INTERSPEECH 2015: 2082-2086 - [c32]Andrew J. Kolb, Michael T. Johnson, Jeffrey Berry:
Interpolation of tongue fleshpoint kinematics from combined EMA position and orientation data. INTERSPEECH 2015: 2177-2181 - 2014
- [j19]Wei-Wei Liu, Wei-Qiang Zhang, Michael T. Johnson, Jia Liu:
Homogenous ensemble phonotactic language recognition based on SVM supervector reconstruction. EURASIP J. Audio Speech Music. Process. 2014: 42 (2014) - [j18]Marek B. Trawicki, Michael T. Johnson:
Speech enhancement using Bayesian estimators of the perceptually-motivated short-time spectral amplitude (STSA) with Chi speech priors. Speech Commun. 57: 101-113 (2014) - [c31]Jianglin Wang, Michael T. Johnson:
Physiologically-motivated feature extraction for speaker identification. ICASSP 2014: 1690-1694 - [c30]Jeffrey Berry, Cassandra North, Michael T. Johnson:
Sensorimotor adaptation of speech using real-time articulatory resynthesis. ICASSP 2014: 3196-3200 - [c29]An Ji, Jeffrey J. Berry, Michael T. Johnson:
The Electromagnetic Articulography Mandarin Accented English (EMA-MAE) corpus of acoustic and 3D articulatory kinematic data. ICASSP 2014: 7719-7723 - [c28]An Ji, Michael T. Johnson, Jeffrey Berry:
Palate-referenced articulatory features for acoustic-to-articulator inversion. INTERSPEECH 2014: 721-725 - [c27]Jeffrey Berry, Andrew Kolb, Cassandra North, Michael T. Johnson:
Acoustic and kinematic characteristics of vowel production through a virtual vocal tract in dysarthria. INTERSPEECH 2014: 1588-1592 - [c26]Jeffrey Berry, John Jaeger IV, Melissa Wiedenhoeft, Brittany Bernal, Michael T. Johnson:
Consonant context effects on vowel sensorimotor adaptation. INTERSPEECH 2014: 2006-2010 - 2013
- [j17]Yongzhe Shi, Weiqiang Zhang, Jia Liu, Michael T. Johnson:
RNN language model with word clustering and class-based output layer. EURASIP J. Audio Speech Music. Process. 2013: 22 (2013) - [j16]Junhong Zhao, Wei-Qiang Zhang, Hua Yuan, Michael T. Johnson, Jia Liu, Shanhong Xia:
Exploiting contextual information for prosodic event detection using auto-context. EURASIP J. Audio Speech Music. Process. 2013: 30 (2013) - [j15]Marek B. Trawicki, Michael T. Johnson:
Distributed multichannel speech enhancement based on perceptually-motivated Bayesian estimators of the spectral amplitude. IET Signal Process. 7(4): 337-344 (2013) - [c25]An Ji, Michael T. Johnson, Jeffrey Berry:
Articulatory space calibration in 3D Electro-Magnetic Articulography. ChinaSIP 2013: 155-159 - [c24]Jianglin Wang, Michael T. Johnson:
Vocal source features for bilingual speaker identification. ChinaSIP 2013: 170-173 - 2012
- [j14]Yuxiang Shan, Yan Deng, Jia Liu, Michael T. Johnson:
Phone lattice reconstruction for embedded language recognition in LVCSR. EURASIP J. Audio Speech Music. Process. 2012: 15 (2012) - [j13]Marek B. Trawicki, Michael T. Johnson:
Distributed multichannel speech enhancement with minimum mean-square error short-time spectral amplitude, log-spectral amplitude, and spectral phase estimation. Signal Process. 92(2): 345-356 (2012) - [j12]Wen-Lin Zhang, Weiqiang Zhang, Bi-Cheng Li, Dan Qu, Michael T. Johnson:
Bayesian Speaker Adaptation Based on a New Hierarchical Probabilistic Model. IEEE Trans. Speech Audio Process. 20(7): 2002-2015 (2012) - [c23]Marek B. Trawicki, Michael T. Johnson:
Improvements of the Beta-Order Minimum Mean-Square Error (MMSE) Spectral Amplitude Estimator using Chi Priors. INTERSPEECH 2012: 939-942 - [c22]Michael T. Johnson, Jianglin Wang:
Residual Phase Cepstrum Coefficients with Application to Cross-lingual Speaker Verification. INTERSPEECH 2012: 1556-1559 - 2011
- [j11]Weiqiang Zhang, Liang He, Yan Deng, Jia Liu, Michael T. Johnson:
Time-Frequency Cepstral Features and Heteroscedastic Linear Discriminant Analysis for Language Recognition. IEEE Trans. Speech Audio Process. 19(2): 266-276 (2011)
2000 – 2009
- 2009
- [j10]Yao Ren, Michael T. Johnson, Patrick J. Clemins, Michael Darre, Sharon Stuart Glaeser, Tomasz S. Osiejuk, Ebenezer Out-Nyarko:
A Framework for Bioacoustic Vocalization Analysis Using Hidden Markov Models. Algorithms 2(4): 1410-1428 (2009) - [j9]Yanmin Qian, Jia Liu, Michael T. Johnson:
Efficient embedded speech recognition for very large vocabulary Mandarin car-navigation systems. IEEE Trans. Consumer Electron. 55(3): 1496-1500 (2009) - [c21]Marek B. Trawicki, Michael T. Johnson:
Optimal distributed microphone phase estimation. ICASSP 2009: 2177-2180 - [c20]Yao Ren, Michael T. Johnson:
Auditory coding based speech enhancement. ICASSP 2009: 4685-4688 - 2008
- [j8]Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson:
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model. IEEE Trans. Speech Audio Process. 16(8): 1654-1661 (2008) - [c19]Mohamed A. Mneimneh, Michael T. Johnson, Richard J. Povinelli:
A Heart Cell Group Model for the Identification of Myocardial Ischemia. HEALTHINF (2) 2008: 51-58 - [c18]Kuntoro Adi, Kristine E. Sonstrom, Peter M. Scheifele, Michael T. Johnson:
Unsupervised validity measures for vocalization clustering. ICASSP 2008: 4377-4380 - [c17]Yao Ren, Michael T. Johnson:
An improved SNR estimator for speech enhancement. ICASSP 2008: 4901-4904 - 2007
- [j7]Michael T. Johnson, Xiaolong Yuan, Yao Ren:
Speech signal enhancement through adaptive wavelet thresholding. Speech Commun. 49(2): 123-133 (2007) - [c16]Xi Li, Jidong Tao, Michael T. Johnson, Joseph Soltis, Anne Savage, Kirsten M. Leong, John D. Newman:
Stress and Emotion Classification using Jitter and Shimmer Features. ICASSP (4) 2007: 1081-1084 - 2006
- [j6]Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson:
Sub-banded reconstructed phase spaces for speech recognition. Speech Commun. 48(7): 760-774 (2006) - [j5]Richard J. Povinelli, Michael T. Johnson, Andrew C. Lindgren, Felice M. Roberts, Jinjin Ye:
Statistical models of reconstructed phase spaces for signal classification. IEEE Trans. Signal Process. 54(6-1): 2178-2186 (2006) - [c15]Patrick J. Clemins, Marek B. Trawicki, Kuntoro Adi, Jidong Tao, Michael T. Johnson:
Generalized Perceptual Features for Vocalization Analysis Across Multiple Species. ICASSP (1) 2006: 253-256 - 2005
- [j4]Michael T. Johnson:
Capacity and complexity of HMM duration modeling techniques. IEEE Signal Process. Lett. 12(5): 407-410 (2005) - [j3]Michael T. Johnson, Richard J. Povinelli, Andrew C. Lindgren, Jinjin Ye, Xiaolin Liu, Kevin M. Indrebo:
Time-domain isolated phoneme classification using reconstructed phase spaces. IEEE Trans. Speech Audio Process. 13(4): 458-466 (2005) - [c14]Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson:
Third-Order Moments of Filtered Speech Signals for Robust Speech Recognition. NOLISP 2005: 277-283 - 2004
- [j2]Richard J. Povinelli, Michael T. Johnson, Andrew C. Lindgren, Jinjin Ye:
Time Series Classification Using Gaussian Mixture Models of Reconstructed Phase Spaces. IEEE Trans. Knowl. Data Eng. 16(6): 779-783 (2004) - [c13]Andrew C. Lindgren, Michael T. Johnson, Richard J. Povinelli:
Joint frequency domain and reconstructed phase space features for speech recognition. ICASSP (1) 2004: 533-536 - 2003
- [j1]Yang Liu, Mary P. Harper, Michael T. Johnson, Leah H. Jamieson:
The effect of pruning and compression on graphical representations of the output of a speech recognizer. Comput. Speech Lang. 17(4): 329-356 (2003) - [c12]Andrew C. Lindgren, Michael T. Johnson, Richard J. Povinelli:
Speech recognition using reconstructed phase space features. ICASSP (1) 2003: 60-63 - [c11]Patrick J. Clemins, Michael T. Johnson:
Application of speech recognition to African elephant (Loxodonta africana) vocalizations. ICASSP (1) 2003: 484-487 - [c10]Michael T. Johnson, Andrew C. Lindgren, Richard J. Povinelli, Xiaolong Yuan:
Performance of nonlinear speech enhancement using phase space reconstruction. ICASSP (1) 2003: 920-923 - [c9]Xiaolin Liu, Richard J. Povinelli, Michael T. Johnson:
Vowel classification by global dynamic modeling. NOLISP 2003: 5 - [c8]Kevin M. Indrebo, Richard J. Povinelli, Michael T. Johnson:
A combined sub-band and reconstructed phase space approach to phoneme classification. NOLISP 2003: 17 - [c7]Jinjin Ye, Michael T. Johnson, Richard J. Povinelli:
Phoneme classification over the reconstructed phase space using principal component analysis. NOLISP 2003: 19 - [c6]Jinjin Ye, Michael T. Johnson, Richard J. Povinelli:
Study of attractor variation in the reconstructed phase space of speech signals. NOLISP 2003: 20 - 2002
- [c5]Patrick J. Clemins, Heather Ewalt, Michael T. Johnson:
Time-aligned SVD analysis for speaker identification. ICASSP 2002: 4160 - 2000
- [c4]Mary P. Harper, Christopher M. White, Wen Wang, Michael T. Johnson, Randall A. Helzerman:
The Effectiveness of Corpus-Induced Dependency Grammars for Post-processing Speech. ANLP 2000: 102-109
1990 – 1999
- 1999
- [c3]Mary P. Harper, Michael T. Johnson, Leah H. Jamieson, Stephen Hockema, Christopher M. White:
Interfacing a CDG parser with an HMM word recognizer using word graphs. ICASSP 1999: 733-736 - 1998
- [c2]Michael T. Johnson, Mary P. Harper, Leah H. Jamieson:
Interfacing acoustic models with natural language processing systems. ICSLP 1998 - 1994
- [c1]Michael T. Johnson, Mita D. Desai:
An Adaptive Approach for Texture Modelling. ICIP (3) 1994: 388-391
Coauthor Index
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last updated on 2024-10-30 21:33 CET by the dblp team
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