• 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


2025

Teplansky, K., Rangel, E., LaValley, M., Cao, B., Kwon, J. & Wang, J. (2025).  Articulatory vowel distinctiveness in Spanish. Proc. Interspeech, Rotterdam, The Netherlands. (To appear).

2024

Dash, D., Ferrari, P., & Wang., J. (2024). Neural decoding of spontaneous overt and intended speech, Journal of Speech, Language, and Hearing Research, 67(11), 4216-4225. 

Kwon, J., Harwath, D., Dash, D., Ferrari, & Wang, J. (2024). Direct Speech Synthesis from Non-Invasive, Neuromagnetic Signals, Proc. Interspeech, 412-416. (demo audio samples)

Wisler, A., Teplansky, K., Berlin, J., Wang, J., & Goffman, L. (2024). Validating the influences of methodological decisions on assessing the spatiotemporal stability of speech movement sequences using children’s speech data, Journal of Speech, Language, and Hearing Research, 67 (12), 4585-4597.

Dash, D., Teplansky, K., Ferrari, P., Babajani-Feremi, A., Calley, C., Heitzman, D., Austin, S. G., & Wang, J. (2024). Automatic detection of ALS from single-trial MEG signals during speech tasks: A pilot study, Frontiers in Psychology, vol 15, 1114811.

Teplansky, K., Wisler, A., Goffman, L., & Wang, J. (2024). The impact of stimulus length in tongue and lip movement pattern stability in amyotrophic lateral sclerosis, Journal of Speech, Language, and Hearing Research, 67(10S), 4002-4014.

2023

Livanainen, J., Carter, T. R., Trumbo, M. C. S., McKay, J., Taulu, S., Wang, J., Stephen, J. M., Schwindt, P. D. D., & Borna, A., (2023). Single-trial classification of evoked responses to auditory tones using OPM- and SQUID-MEG, Journal of Neural Engineering, 20, 056032.

Yaldiz, C., Sebkhi, N., Bhavsar, A., Wang, J., & Inan, O. T. (2023). Improving reliability of magnetic localization using input space transformation, IEEE Sensors Journal,  23(22), 28390-28398.

Cao, B., Ravi, S.,  Sebkhi, N., Bhavsar, A., Inan, O. T., Xu, W., & Wang, J. (2023). MagTrack: A wearable tongue motion tracking system for silent speech interfaces, Journal of Speech, Language, and Hearing Research, 66(8S), 3206–3221.

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. doi: 10.1109/NER52421.2023.10123722

Teplansky, K. J., Wisler, A., Green, J. R., Heitzman, D., Austin, S., & Wang, J. (2023). Measuring articulatory patterns in amyotrophic lateral sclerosis using a data-driven articulatory consonant distinctiveness space approach, Journal of Speech, Language, and Hearing Research, 66(8S), 3076-3088. 

Benham, S., Wisler, A., Berlin, J., Wang, J., & Goffman, L. (2023). Acoustic and kinematic methods of indexing spatiotemporal stability in children with developmental language disorder, Journal of the Speech, Language, and Hearing Research, 66, 3026 - 3037.

Teplansky, K., Wisler, A., Green, J. R., Compbell, T. F., Heitzman, D., Austin, S. G., & Wang, J. (2023). Tongue and lip acceleration as a measure of speech decline in amyotrophic lateral sclerosis, Folia Phoniatrica et Logopedia, 75(1), 23 – 34. (Best Student Article Award)

2022

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.

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)

2009-2013

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., Rangel, E., Thomas, A., Mau, T., & Wang, J. (2025).  Tongue and lip movement patterns in alaryngeal and silent Speech, the 69th Annual Convention of Texas Speech-Language-Hearing Association (TSHA), May 1-3, San Antonio, TX. 

Stanley, K., Wong, D., Kwon, J., Guo, Z.-C., Ferrari, P., Babajani-Feremi, A., & Wang, J. (2025). Neuromagnetic patterns of imagined and overt speech, the 69th Annual Convention of Texas Speech-Language-Hearing Association (TSHA), May 1-3, San Antonio, TX. 

Thomas, T., Ghosh, N., Rangel, E., Teplansky, K.,  Henkener, L.J., DeHaan, K., Yang, Z., & Wang, J. (2025).  Acoustic vocal profile in alaryngeal speech – Preliminary findings in tracheoesophageal prosthesis and electrolarynx users, the 69th Annual Convention of Texas Speech-Language-Hearing Association (TSHA), May 1-3, San Antonio, TX.

Narasimha, A. & Wang, J. (2025). Machine learning classification of Spanish /r/ and /rr/ from tongue kinematics, Technology & Science Undergraduate Research Forum, College of Natural Sciences, UT Austin, April 11.

Stanley, K., Wong, D., Ferrari, P., Tao Song, Kwon, J., Guo, Z.-C., Babajani-Feremi, A., & Wang, J. (2025). Brain activity differences between imagined and overt speech production, UT Clinically Applied Rehabilitation Engineering (CARE) Symposium, March 28, Austin, TX. (Best Poster Award in Session A)

Rodriguez-Orozco, D., LaValley, M., Teplansky, K., Rangel, E., Kwon, J., & Wang, J. (2025). Tongue kinematic analysis of Spanish measured using wearable electromagnetic articulography, UT Clinically Applied Rehabilitation Engineering (CARE) Symposium, March 28, Austin, TX

Guo, Z.-C., Babajani-Feremi, A., Cao, B., Harwath, D., Ferrari, P., Borna, A., & Wang., J. (2024). Identifying speech modalities from neuromagnetic signals using machine learning, ASHA Convention, Dec 05-07, Seattle, WA.

Wu., M., Cao, B., Regner, A., Rodriguez-Orozco, D., Wang., J., & Koul, R. (2024). Predicting spatial preposition naming accuracy in Mandarin-speaking children from acoustic features using machine learning, ASHA Convention, Dec 05-07, Seattle, WA (Visionary Session).

LaValley, M., Teplansky, K., Rodriguez-Orozco, D., McKnight, Z., Kwon, J., & Wang, J. (2024). Kinematic analysis of Spanish vowel and consonant productions using wearable electromagnetic articulography, ASHA Convention, Dec 05-07, Seattle, WA.

Severa, W., Wang, F., Trumbo, M., Ridley, D., Read T., Wang, J., Schwindt, P., & Borna, A. (2024). Closed-Vocabulary Decoding Using an OPM-MEG System, the 23rd International Conference on Biomagnetism (Biomag), Aug 26 – 29, Sydney, Australia.

Teplanksy, K., Kwon, J., Hussain, Y., Heitzman, D., & Wang, J. (2024). Speech motor control impairments in ALS: A focus on lateral tongue movement, the Annual NEALS (Northeastern ALS Society) Meeting, Oct 21 – 24, Florida, FL.

Kwon, J., Harwath, D., Dash, D., Ferrari, P. & Wang, J. (2024). Directly Mapping Neural (Magnetoencephalography) Signals to Speech, UT CARE Research Day, March 21st, Austin, TX.

Wu, M., Wang, J., Cao, B., & Koul, R. (2024). Acoustic Features of Mandarin-Speaking Preschoolers in Naming Task, UT CARE Research Day, March 21st, Austin, TX.

Ghosh, N., Kwon, J., Teplansky, K., Samlan, R., Mau, T., & Wang, J. (2024). The Missing Dimension: Lateral Articulatory Movements in Alaryngeal Speech, Signal Analytics for Motor Speech Workshop at the Conference for Motor Speech, February 21-24, 2024, San Diego, CA.

Hochberg, L., Wang J., & Green J. R. (2023). Research Symposium: An update on brain-computer interfaces, Research Symposium on Artificial Intelligence and Speech, ASHA Convention, Nov 16-18, Boston, MA (invited).

Iivanainen, J., Seheon, M., Carter, T. R., Trumbo, M.C.S., McKay, J., Taulu, S., Wang, J., Stephen, J. M., Schwindt, P.D.D., & Borna, A. (2023). Single-trial classification of evoked responses to auditory tones using OPM- and SQUID-MEG, Workshop on Optically Pumped Magnetometers (WOPM2023), August 28-29, Atlanta, GA.

Wisler, A., Teplansky, K., Berlin, J., Wang, J., & Goffman, L. (2023). Influences of methodological decisions on the spatiotemporal index: Validation on child speech data, ASHA Convention, Nov 16-18, Boston, MA.

Thomas, A, Teplansky, K., Samlan, R., & Wang, J. (2023). An investigation of spectral flux in alaryngeal speech, ASHA Convention, Nov 16-18, Boston, MA.

Wu, M., Wang, F., Zhao, Z., Wang, J. & Koul, R. (2023). Effects of keyboard display on word accuracy for a commercial EEG speller: A brainwave analysis, ASHA Convention, Nov 16-18, Boston, MA.

Pandit, S., Lattka, I., Cao, B., & Wang, J. (2023). Silent vowel classification using a wearable electromagnetic tongue tracking device, Longhorn Research Poster Session, UT Austin Undergraduate Studies (honorable mention for the best poster award). 

Thomas, A., Cao, B., Teplansky, K., Samlin, R., Mau, T., & Wang, J. (2023). Speech error patterns in Tracheoesophageal puncture (TEP) speakers, UT CARE Research Day, March 3rd, Austin, TX.

Mohata, G., Harwath, D., Dash, D., Iivanainen, J., Trumbo, M., Schwindt, P., Wang, J., & Borna, A. (2023). Sentence Classification from OPM-MEG Signals, UT CARE Research Day, March 3rd, Austin, TX.

Wu, M., Wang, F., Zhao, Z., Koul, R., & Wang, J. (2023). Keyboard display effects in P300 BCI speller, UT CARE Research Day, March 3rd, Austin, TX.

Cao, B., Kim, M., Sigmond, C., Teplansky, K., & Wang, J., (2023). Personalized automatic speech recognition for low intelligibility dysarthric speech: A pilot study, UT CARE Research Day, March 3rd, Austin, TX.

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)

Dash, D., Ferrari, P., & Wang, J. (2019). Laterality in the neural decoding of imagined and spoken speech, paper presented at the 8th Graz Brain-Computer Interface Conference, September 16 - 20, Graz, Austria.