• Director: Jun Wang, PhD
  • Locations: CMB1 & HDB5
  • 512-471-6831
  • jun.wang@austin.utexas.edu
Publications

Speech Disorders and Technology Lab: Publications

Selected Peer-Reviewed Publications


2023

Dash, D., Ferrari, P., Babajani-Feremi, A., Harwath, D., Borna, A., & Wang, J. (2023). Subject generalization in classifying imagined and spoken speech with MEG, Proceedings of the International IEEE EMBS Conference on Neural Engineering (NER), pp. 1-4 (in press).

2022

Teplansky, K. J., Wisler, A., Green, J. R., Heitzman, D., Austin, S., & Wang, J. (2022). Measuring articulatory patterns in amyotrophic lateral sclerosis using a data-driven articulatory consonant distinctiveness space approach, Journal of Speech, Language, and Hearing Research (in press).

Benham, S., Wisler, A., Berlin, J., Wang, J., & Goffman, L. (2022). Acoustic and kinematic methods of indexing spatiotemporal stability in children with developmental language disorder, Journal of the Speech, Language, and Hearing Research, 1 - 12 (In press).

Cao, B., Wisler, A., & Wang, J. (2022). Speaker adaptation on articulation and acoustics for articulation-to-speech synthesis, Sensors, 22, 6056, 1-16.

Cao, B., Teplansky, K., Sebkhi, N., Bhavsar, A., Inan, O., Samlan, R., Mau, T., & Wang, J. (2022). Data augmentation for end-to-end silent speech recognition for laryngectomees, Proc. Interspeech, Incheon, Korea, pp. 3653 - 3657.

Teplansky, K., Wisler, A., Green, J. R., Compbell, T. F., Heitzman, D., Austin, S. G., & Wang, J. (2022). Tongue and lip acceleration as a measure of speech decline in amyotrophic lateral sclerosis, Folia Phoniatrica et Logopedia (in press).

Thomas, A., Teplansky, K., Wisler, A., Heitzman, D., Austin, S., & Wang, J. (2022). Voice onset time in early- and late-stage amyotrophic lateral sclerosis, Journal of Speech, Language, and Hearing Research,  65(7), 2586 - 2593.

Wisler, A., Goffman, L., Zhang, L., & Wang, J. (2022). Influences of methodological decisions on assessing the spatiotemporal stability of speech movement sequences, Journal of Speech, Language, and Hearing Research, 65(2), 538 - 554.

2021

Dash, D., Ferrari, P., Babajani-Feremi, A., Borna, A., Schwindt, P., & Wang, J. (2021). Magnetometers vs gradiometers for neural speech decoding, Proc. the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 6543 - 6546.

Dash, D., Ferrari, P., Berstis, K., & Wang, J. (2021). Imagined, intended, and spoken speech envelope synthesis from neuromagnetic signals, Proc. 23rd International Conference on Speech and Computer (SPECOM), St. Petersburg, Russia, in Lecture Notes in Computer Science, vol 12997, pp. 1-12.

Stipancic, K. L., Yunusova, Y., Campbell T. F., Wang, J., Berry J. D., Green J. R. (2021). Two distinct clinical phenotypes of bulbar motor impairment in amyotrophic lateral sclerosis, Frontiers in Neurology, 12 (664713), 1 - 9.

Cao, B., Sebkhi, N., Bhavsar, A., Inan, O. T., Samlan, R., Mau, T., & Wang, J. (2021). Investigating speech reconstruction for laryngectomees for silent speech interfaces, Proc. Interspeech, Brno, Czech, pp. 651 - 655.

Neumann, M., Roesler, O., Liscombe, J., Kothare, H., Suendermann-Oeft, D., Pautler, D., Navar, I., Anvar, A., Kumm, J., Norel, R., Fraenkel, E., Sherman, A.V., Berry, J., Pattee, G., Wang, J., Green, J., & Ramanarayanan, V. (2021). Investigating the utility of multimodal conversational technology and audiovisual analytic measures for the assessment and monitoring of amyotrophic lateral sclerosis at scale, Proc. Interspeech, Brno, Czech, pp. 4783 - 4787.

Dash, D., Ferrari, P., Borna, A., Iivanainen, J., Schwindt, P. D. D., & Wang, J. (2021). Visual decoding of phrases from occipital neuromagnetic signals, Proc. International IEEE EMBS Conference on Neural Engineering (NER), pp. 230-233 (virtual).

Wisler, A., Teplansky, K., Heitzman, D., & Wang, J. (2021). The effects of symptom onset location on automatic ALS detection using the correlation structure of articulatory movements, Journal of Speech, Language, and Hearing Research, 64, 2276-2286.

Sebkhi, N., Bhavsar, A., Anderson, D. V., Wang, J., & Inan, O. T. (2021). Inertial measurements for tongue motion tracking based on magnetic localization with orientation compensation, IEEE Sensors Journal, 21(6), 7964-7971.

2020

Dash, D., Wisler, A., Ferrari, P., Davenport, E., Maldjian, J., & Wang, J. (2020). MEG sensor selection for neural speech decoding, IEEE Access, 8, 182320-182337.

Dash, D., Ferrari, P., Hernandez, A., Heitzman, D., Austin, S., & Wang, J. (2020). Neural speech decoding for amyotrophic lateral sclerosis, Proc. Interspeech,  Shanghai, China, pp. 2782 - 2786.  (Supplementary materials)

Dinh, T., Kain, A., Samlan, R., Cao, B., & Wang, J. (2020). Increasing the intelligibility and naturalness of alaryngeal speech using voice conversion and synthetic fundamental frequency, Proc. Interspeech, Shanghai, China,  pp. 4781 - 4785.

Teplansky, K., Wisler, A., Cao, B., Liang, W., Whited, C. W., Mau, T., & Wang, J. (2020). Tongue and lip motion patterns in alaryngeal speech, Proc. Interspeech, Shanghai, China, pp. 4576 - 4580.

Dash, D., Ferrari, P., & Wang, J. (2020). Role of brainwaves in neural speech decoding, Proceedings of the 28th European Signal Processing Conference (EUSIPCO), Amsterdam, NL, pp. 1357 - 1361.

Dash, D., Ferrari, P., Dutta, S., & Wang, J. (2020).  NeuroVAD: Real-time voice activity detection from non-invasive neuromagnetic signals, Sensors, 20(8), 2248, 1-13.

Dash, D., Ferrari, P., & Wang, J. (2020). Decoding speech evoked jaw motion from non-invasive neuromagnetic oscillations, Proc. International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, pp. 1 - 8.

Wisler, A., Teplansky, K., Green, J. R., Austin, S. G., & Wang, J. (2020). Can machines learn continuous measures of speech severity from ordinal training labels? Proc. 33rd International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), Miami, FL, pp. 550-555.  

Dash, D., Ferrari, P., & Wang, J. (2020). Decoding imagined and spoken phrases from non-invasive neural (MEG) signals, Frontiers in Neuroscience, 14(290), 1-15.

2019

Dash, D., Wisler, A., Ferrari, P., & Wang, J. (2019). Towards a speaker independent speech-BCI using speaker adaptationProc. Interspeech, pp. 864-868.

Dash, D., Ferrari, P., & Wang, J. (2019). Spatial and spectral fingerprint in the brain: Speaker identification from single trial MEG signalsProc. Interspeech, pp. 1203-1207.

Gutz, S., Wang, J., Yunusova, Y., & Green, J. R. (2019). Early identification of speech changes due to amyotrophic lateral sclerosis using machine classificationProc. Interspeech, pp. 604-608.

Teplansky, K., Tsang, B., & Wang, J. (2019). Tongue and lip motion patterns in voiced, whispered, and silent vowel productionProc. International Congress of Phonetic Sciences, no. 832, pp. 1-5.

Cao, B., Tsang, B., & Wang, J. (2019). Comparing the performance of individual articulatory flesh points for articulation-to-speech synthesisProc. International Congress of Phonetic Sciences, no. 761, pp. 1-5.

Cao, B., Wisler, A., & Wang, J. (2019). Is articulation-to-speech synthesis language independent? A pilot studyProc. International Congress of Phonetic Sciences, no. 759, pp. 1-5.

Dash, D., Ferrari, P., Heitzman, D., & Wang, J. (2019). Decoding speech from single trial MEG signals using convolutional neural networks and transfer learningThe 41st International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’), pp. 5531-5535.

Wisler, A., Teplansky, K., Green, J. R., Yunusova, Y., Campbell, T.F., Heitzman, D., & Wang, J. (2019). Speech-based estimation of bulbar regression in amyotrophic lateral sclerosisWorkshop on Speech and Language Processing for Assistive Technologies, pp. 24-31.

Cao, B., Sebkhi, N., Mau, T., Inan, O. T., & Wang, J. (2019). Permanent magnetic articulograph (PMA) vs electromagnetic articulograph (EMA) in articulation-to-speech synthesis for silent speech interface Workshop on Speech and Language Processing for Assistive Technologies , pp. 17-23.

Dash, D., Ferrari, P., Malik, S., Wang, J. (2019). Automatic speech activity recognition from MEG signals using Seq2Seq learningProc. International IEEE EMBS Conference on Neural Engineering (NER), pp. 340-343.

2018

Dash, D., Ferrari, P. Malik, S., Montillo, A., Maldjian, J., & Wang, J. (2018). Determining the optimal number of MEG trials: A machine learning and speech decoding perspectiveProc. International Conference on Brain Informatics, in Lecture Notes in Computer Science (LNCS), Springer-Nature, vol. 11309, 163-172.

Dash, D.*, Biswal, B., Sao, A. K., & Wang, J. (2018). Automatic recognition of resting state fMRI networks with dictionary learningProc. International Conference on Brain Informatics, in Lecture Notes in Computer Science (LNCS), Springer-Nature, vol. 11309, 249-259. (* Best Student Paper Award)

Wang, J., Kothalkar, P., Kim, M., Bandini, A., Cao, B., Yunusova, Y., Campbell, T. F., Heitzman, D., & Green, J. R. (2018). Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samplesInternational Journal of Speech-Language Pathology, 20(6), 669-679.

Farquharson, K., Hogan, T. P., Hoffman, L., Wang, J., Green, K. F., Green, J. R. (2018). A longitudinal study of infants' early speech production and later letter identificationPLoS ONE, 13(10): e0204006.

Dash, D., Ferrari, P., Malik, S., & Wang, J. (2018). Overt speech retrieval form neuromagnetic signals using wavelets and artificial neural networksProc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 489-493.

Dash, D., Sao, K. A., Wang, J., & Biswal, B. (2018). How many fMRI scans are necessary and sufficient for resting brain connectivity analysis? Proc. IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 494-498.

Kim, M., Sebkhi, N., Cao, B., Ghovanloo, M., & Wang, J. (2018). Preliminary test of a wireless magnetic tongue tracking system for silent speech interfaceProc. IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1-4.

Cao, B., Kim, M., Wang, J. R., van Santen, J., Mau, T., & Wang, J. (2018). Articulation-to-speech synthesis using articulatory flesh point sensors’ orientation informationProc. Interspeech, pp. 3152-3156.

An, K., Kim, M., Teplansky, K. J., Green, J., Campbell, T., Yunusova, Y., Heitzman, D., & Wang, J. (2018). Automatic early detection of amyotrophic lateral sclerosis from intelligible speech using convolutional neural networksProc. Interspeech, pp. 1913-1917.

Dash, D., Kim, M., Teplansky, K. J., & Wang, J. (2018). Automatic speech recognition with articulatory information and a unified dictionary for Hindi, Marathi, Bengali, and Oriya , Proc. Interspeech, pp. 1046-1050.

Kim, M., Cao, B., An, K., & Wang, J. (2018). Dysarthric speech recognition using convolutional LSTM neural network, Proc. Interspeech , pp. 2948-2952

Kim, M., Cao, B, & Wang, J. (2018). Multi-view Representation Learning via Canonical Correlation Analysis for Dysarthric Speech RecognitionProc. International Conference on Mechatronics and Intelligent Robotics, pp. 1085-1095. (Best Paper Award)

Bandini, A., Green, J. R., Wang, J., Campbell, T. F., Zinman, L., & Yunusova, Y. (2018). Kinematic features of jaw and lips distinguish symptomatic from pre-symptomatic stages of bulbar decline in amyotrophic lateral sclerosis Journal of Speech, Language, and Hearing Research, 61, 1118-1129.

2017

Kim, M., Cao, B., Mau, T., & Wang, J. (2017). Speaker-independent silent speech recognition from flesh point articulatory movements using an LSTM neural networkIEEE/ACM Transactions on Audio, Speech, and Language Processing, 25(12): 2323-2336.

Kim, M., Kim, Y., Yoo, J., Wang, J., & Kim, H. (2017). Regularized speaker adaptation of KL-HMM for dysarthric speech recognitionIEEE Transactions on Neural Systems & Rehabilitation Engineering, 25(9): 1581-1591.

Kim, M., Cao, B., Mau, T., & Wang, J. (2017). Multiview representation learning via deep CCA for silent speech recognition, Proc. Interspeech, pp. 2769-2773.

Cao, B., Kim, M., van Santen, J., Mau, T., & Wang, J. (2017). Integrating articulatory information into deep learning-based text-to-speech synthesisProc. Interspeech, pp. 254-258.

Allison, K., Yunusova, Y., Campbell, T., Wang, J., Berry, J., Green, J. (2017). The diagnostic utility of patient-report and speech-language pathologists’ ratings for detecting the early onset of bulbar symptoms due to ALSAmyotrophic Lateral Sclerosis and Frontotemporal Degeneration, 18(5-6):358-366.

Katz, W., Mehta, S., Wood, M., & Wang, J. (2017). Using electromagnetic articulography with a tongue lateral sensor to discriminate manner of articulationThe Journal of the Acoustic Society of America, 141(1), EL57-EL63.

Wang, J., Kim, M., Hernandez-Mulero, A. H., Heitzman, D., & Ferrari, P. (2017). Towards decoding speech production from single-trial Magnetoencephalography (MEG) signalsIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3036-3040.

Shokoohi-Yekta, M., Hu, B., Jin, H., Wang, J., Keogh E. (2017). Generalizing dynamic time warping to the multi-dimensional case requires an adaptive approachData Mining and Knowledge Discovery, 31(1), 1-31.

2016

Wang, J., Kothalkar, P., Kim, M., Yunusova, Y., Campbell, T., Heitzman, D., & Green, J. R. (2016). Predicting intelligible speaking rate of individuals with amyotrophic lateral sclerosis from a small number of speech acoustic and articulatory samplesACL/ISCA Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), pp. 91-97.

Cao, B., Kim, M., Mau T., & Wang, J. (2016). Recognizing whispered speech produced by an individual with surgically reconstructed larynx using articulatory movement dataACL/ISCA Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), pp. 80-86.

Kim, M., Wang, J., & Kim, H. (2016). Dysarthric speech recognition using Kullback-Leibler divergence-based hidden Markov modelProc. Interspeech, pp. 2671-2675.

Wang, J., Kothalkar, P. V., Cao, B., Heitzman, D. (2016). Towards automatic detection of amyotrophic lateral sclerosis from speech acoustic and articulatory samplesProc. Interspeech, pp. 1195-1199.

Rong, P., Yunusova, Y., Wang, J., Zinman, L., Pattee, G. L., Berry, J. D., Perry, B., & Green, J. R. (2016). Predicting speech intelligibility decline in amyotrophic lateral sclerosis based on the deterioration of individual speech subsystemsPLOS ONE, 11(5): e0154971, 1-19.

Balasubramanian, A., Wang, J., Balakrishnan, P. (2016). Discovering multidimensional motifs in physiological signals for personalized healthcareIEEE Journal of Selected Topics in Signal Processing, 10(5): 832:841.

Wang, J., Samal., A., Rong, P., & Green, J. R. (2016). An optimal set of flesh points on tongue and lips for speech-movement classificationJournal of Speech, Language, and Hearing Research, 59, 15-26.

2015

Wang, J., Hahm, S., & Mau, T. (2015). Determining an optimal set of flesh points on tongue, lips, and jaw for continuous silent speech recognitionWorkshop on Speech and Language Processing for Assistive Technologies, pp. 79-85.

Hahm, S., Heitzman, D., & Wang, J. (2015). Recognizing dysarthric speech due to amyotrophic lateral sclerosis with across-speaker articulatory normalizationWorkshop on Speech and Language Processing for Assistive Technologies, pp. 47-54.

Wang, J. & Hahm, S. (2015). Speaker-independent silent speech recognition with across-speaker articulatory normalization and speaker adaptive trainingProc. Interspeech, pp. 2415-2419.

Hahm, S. & Wang, J. (2015). Parkinson’s condition estimation using speech acoustic and inversely mapped articulatory dataProc. Interspeech, pp. 513-517.

Begum, N., Ulanova, L., Wang, J., Keogh, E. (2015). Accelerating dynamic time warping clustering with a novel admissible pruning strategyACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 49-58.

Hahm, S. & Wang, J. (2015). Silent speech recognition from articulatory movements using deep neural networkProc. of the 18th International Congress of Phonetic Sciences, no. 0524, pp. 1-5.

Shokoohi-Yekta, M., Wang, J., & Keogh, E. (2015). On the non-trivial generalization of dynamic time warping to the multi-dimensional caseSIAM International Conference on Data Mining, 289-297.

Rong, P., Yunusova, Y., Wang, J., & Green, J. R. (2015). Predicting early bulbar decline in amyotrophic lateral sclerosis: A speech subsystem approachBehavioral Neurology, no. 183027, 1-11.

2014

Wang, J., Katz, W., & Campbell, T. F. (2014). Contribution of tongue lateral to consonant productionProc. Interspeech, pp. 174-178.

Katz, W., Campbell, T. F., Wang, J., Farrar, E., Eubanks, C., Balasubramanian, A., Prabhakaran, B. & Rennaker, R. (2014). Opti-Speech: A real-time, 3D visual feedback system for speech trainingProc. Interspeech, pp. 1174-1178.

Wang, J., Samal, A., & Green, J. R. (2014). Across-speaker articulatory normalization for speaker-independent silent speech recognitionProc. Interspeech, pp. 1179-1183.

Wang, J., Samal, A., & Green, J. R. (2014). Preliminary test of a real-time, interactive silent speech interface based on electromagnetic articulographWorkshop on Speech and Language Processing for Assistive Technologies, pp. 38-45. (View demo using the silent speech interface)

2013-2009

Wang, J., Green, J. R., Samal, A., & Yunusova, Y. (2013). Articulatory distinctiveness of vowels and consonants: A data-driven approachJournal of Speech, Language, and Hearing Research, 56, 1539-1551.

Yunusova, Y., Rosenthal, J. S., Green, J. R., Rong, P., Wang, J., & Zinman, L. (2013). Detection of bulbar ALS using a comprehensive speech assessment batteryProc. of the 8th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, pp. 217-220.

Green, J. R., Yunusova, Y., Kuruvilla, M. S., Wang, J., Pattee, G. L., Synhorst, L., Zinman, L., & Berry, J. D. (2013). Bulbar and speech motor assessment in ALS: Challenges and future directionsAmyotrophic Lateral Sclerosis and Frontotemporal Degeneration, 14, 494-500.

Wang, J., Balasubramanian, A., Mojica de La Vega, L., Green, J. R., Samal, A., & Prabhakaran, B. (2013). Word recognition from continuous articulatory movement time-series data using symbolic representationsWorkshop on Speech and Language Processing for Assistive Technologies,  pp. 119-127.

Green, J. R., Wang, J., Wilson, D. L. (2013). SMASH: A tool for articulatory data processing and analysisProc. Interspeech, pp. 1331-35.

Wang, J., Green, J. R., & Samal, A. (2013). Individual articulator’s contribution to phoneme productionProc. of IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, pp. 7785-89.

Wang, J., Samal, A., Green, J. R., & Rudzicz, F. (2012). Whole-word recognition from articulatory movements for silent speech interfacesProc. Interspeech, pp. 1327-30.

Wang, J., Samal, A., Green, J. R., & Rudzicz, F. (2012). Sentence recognition from articulatory movements for silent speech interfacesProc. of IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, pp. 4985-88.

Yunusova, Y., Green, J. R., Greenwood, L., Wang, J., Pattee, G. L., & Zinman, L. (2012). Tongue movements and their acoustic consequences in amyotrophic lateral sclerosisFolia Phoniatrica et Logopaedica (International Journal of Phoniatrics, Speech Therapy and Communication Pathology), 64(2):94-102.

Wang, J., Green, J. R., Samal, A., & Marx, D. B. (2011). Quantifying articulatory distinctiveness of vowelsProc. Interspeech, pp. 277-280.

Wang, J., Green, J. R., Samal, A., & Carrell, T. D. (2010). Vowel recognition from continuous articulatory movements for speaker-dependent applicationsProc. of IEEE Intl. Conf. on Signal Processing and Communication Systems,  pp. 1-7.

Wang, J., Samal, A., Green, J. R., & Carrell, T. D. (2009). Vowel recognition from articulatory position time-series dataProc. of IEEE Intl. Conf. on Signal Processing and Communication Systems, pp. 1-6.   


Note: “In computer science, papers in peer-reviewed conferences are accepted as high-quality scholarly articles”.


 

Non-Peer-Reviewed Publications


Wang, J. (2015). Silent speech interface: A potential speech communication tool with quality voice output for laryngectomees, The International Association of Laryngectomees (IAL) News, 60(4), 10-11. 

Yunusova, Y., Green, J. R., Wang, J., Pattee, G., & Zinman, L. (2011). A protocol for comprehensive assessment of bulbar (speech) dysfunction in amyotrophic lateral sclerosis (ALS)Journal of Visualized Experiments (JoVE), 48.


 

Upcoming or Recent Presentations


Teplansky, K. J., Wisler, A., Heitzman, D., Austin, S. G., & Wang, J. (2022). Influence of stimuli length on tongue and lip movement pattern stability in ALS, the 8th International Conference on Speech Motor Control, Aug 24 – 27, Groningen, the Netherlands.

Tsang, B., Dash, D., Ferrari, P., Babajani-Feremi, A., Iivanainen, J., Schwindt, P., Borna, A.,  Wang, J. (2022). Neural speech decoding from segregated brain regions’ neuromagnetic signature, the 22nd International Conference on Biomagnetism (Biomag), Aug 28 – Sep 01, Birmingham, UK.

Teplansky, K., Dash, D., Livanainen, J., Schwindt, P. D. D., Borna, A., & Wang, J. (2022). Decoding auditory tones from brain signals recorded using OPM-MEG, Sandia Day Poster Symposium, University of Texas at Austin, March 30-31, Austin, TX.

Teplansky, K., Dash, D., Livanainen, J., Schwindt, P. D. D., Borna, A., & Wang, J. (2022). Neural responses to auditory tones measured with OPM-MEG, UT CARE Research Day, University of Texas at Austin, April 22, Austin, TX.

Ravi, S., Cao, B., Sebnor, N., Bhavsar, A., Inan, O., Xu, W., & Wang, J. (2022). A wearable electromagnetic articulograph (EMA) for silent speech interface, Signal Analytics for Motor Speech Workshop at the Conference for Motor Speech, February 16 – 22, Charleston, SC.  

Teplansky, K., Wisler, A., Green, J., Heitzman, H., Austin, S., & Wang, J. (2022). Measuring articulatory compensation in ALS using a data-driven consonant distinctiveness space approach, Signal Analytics for Motor Speech Workshop at the Conference for Motor Speech, February 16 – 22, Charleston, SC.  

Cheng, S., Young, N., Teplansky, K., Samlan, R., Mau, T., & Wang, J. (2022). Fricative production in laryngeal, electrolaryngeal, and tracheoesophageal speech, Motor Speech Conference, February 16 - 22, Charleston, SC.

Wisler, A., Benham, S., Berlin, J., Wang, J., & Goffman, L. (2022). Acoustic and kinematic indices of spatiotemporal stability in children’s productions of words and nonwords, Signal Analytics for Motor Speech Workshop at the Conference for Motor Speech, February 16 – 22, Charleston, SC.

Teplansky, K., Wisler, A., Green, J., Heitzman, H., Austin, S., & Wang, J. (2021). Nonlinear stability analysis for early amyotrophic lateral sclerosis, presentation at the Annual Convention of the American Speech-Language-Hearing Association (ASHA), November 18-20, Washington, DC.

Wisler, A., Goffman, L., & Wang, J. (2021). Understanding the effects of implementation parameters on the spatiotemporal index (STI), presentation at the Annual Convention of the American Speech-Language-Hearing Association (ASHA), November 18-20, Washington, DC.

Wu, M., Koul, R., Wang, J., Smith, S., & Xiu, L. (2021). Word spelling across four brain-computer interface displays, the Annual Convention of the American Speech-Language-Hearing Association (ASHA), November 18-20, Washington, DC.

Dash, D., Ferrari, P., & Wang, J. (2021). Real-time speech production envelope reconstruction with MEG, Society for the Neurobiology of Language (SNL), October 5-8 (Virtual).

Dash, D., Ferrari, P., & Wang, J. (2021). Neural speech decoding prior to speech onset, the International Brain-Computer Interface (BCI) Meeting,  June 7 - 9, Brussel, Belgium.

Thomas, A., Teplansky, K., Wisler, A., & Wang, J. (2021). Voice onset time in amyotrophic lateral sclerosis, the Annual Convention of the Texas Speech-Language-Hearing Association (TSHA), April 12 - 15, Austin, TX.

Wang, J. (2020), Neural Decoding of Speech Impaired by Amyotrophic Lateral Sclerosis, MathWorks Research Summit 2020 Artificial Intelligence Oktoberfest: Creative AI: Cool and Unusual Applications (Invited).

Heaton, J. & Wang, J. (2020). Research Symposium: Reconstructing Speech from Electromyographic Signals and Lip and Tongue Movements during Silent Speech, the Annual Research Symposium at the American Speech-Hearing-Language Associatio (ASHA) Convention, San Diego, CA, November 2020 (Invited).

Teplansky, K., Wisler, A., Green, J. R., Heitzman, D., Austin, S., & Wang, J. (2020). Articulatory compensation in early-ALS: A variability analysis, the Annual Convention of the American Speech-Language-Hearing Association (ASHA), November 19-21, San Diego, CA.

Kuruvilla-Dugdale, M., Rong, P., Wisler, A., & Wang, J. (2020). A novel speech motor-articulatory approach for phonetic complexity classification, the Annual Convention of the American Speech-Language-Hearing Association (ASHA), November 19-21, San Diego, CA.

Wang, J. (2020). Silent speech interface to assist the oral communication of laryngectomees, Head and Neck Cancer Symposium, Austin, TX (Invited).

Dash, D., Ferrari, P., & Wang, J. (2020). Neural speech decoding prior to speech onset, the 8th International Brain-Computer Interface Meeting, June 8-11, Brussels, Belgium.

Wisler, A., Teplansky, K., Green, J. R., Austin, S. & Wang, J. (2020). Analyzing residuals of machine learning prediction of speech decline due to amyotrophic lateral sclerosis, UTCare Research Day, April 10, Austin, TX.

Teplansky, K., Dutta, S., Cao, B., & Wang, J. (2020). Tongue and lip motion patterns of alaryngeal and silent speech, Conference on Motor Speech, Feb 20-23, Santa Barbara, California.

Wisler, A., Teplansky, K., Green, J., Yunusova, Y., Campbell, T. F., Heitzman, D., & Wang, J. (2020). ALS detection based on onset using correlation structural features from kinematic measurements, Conference on Motor Speech, Feb 20-23, Santa Barbara, California.

Wisler, A., Teplansky, K., Green, J., Yunusova, Y., Campbell, T. F., Heitzman, D., & Wang, J. (2020). Analyzing residuals of machine learning based ALS-FRS speech score predictions, Conference on Motor Speech, Feb 20-23, Santa Barbara, California.

Teplansky, K. J., Wisler, A., Shrode, A., Green, J. R., Yunusova, Y., Campbell, T.F., & Wang, J. (2019). Articulatory compensation in early amyotrophic lateral sclerosis, The Annual ASHA Convention, Orlando, FL, Nov 21-23. (Meritorious Poster)