Selected Peer-Reviewed Publications
2024
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, 1-13.
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)
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.
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.
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.
Teplansky, K., Wisler, A., Goffman, L., & Wang, J. (2023). The impact of stimulus length in tongue and lip movement pattern stability in amyotrophic lateral sclerosis, Journal of Speech, Language, and Hearing Research, 1-13.
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 adaptation, Proc. Interspeech, pp. 864-868.
Dash, D., Ferrari, P., & Wang, J. (2019). Spatial and spectral fingerprint in the brain: Speaker identification from single trial MEG signals, Proc. 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 classification, Proc. Interspeech, pp. 604-608.
Teplansky, K., Tsang, B., & Wang, J. (2019). Tongue and lip motion patterns in voiced, whispered, and silent vowel production, Proc. 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 synthesis, Proc. 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 study, Proc. 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 learning, The 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 sclerosis, Workshop 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 learning, Proc. 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 perspective, Proc. 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 learning, Proc. 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 samples, International 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 identification, PLoS ONE, 13(10): e0204006.
Dash, D., Ferrari, P., Malik, S., & Wang, J. (2018). Overt speech retrieval form neuromagnetic signals using wavelets and artificial neural networks, Proc. 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 interface, Proc. 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 information, Proc. 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 networks, Proc. 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 Recognition, Proc. 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 network, IEEE/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 recognition, IEEE 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 synthesis, Proc. 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 ALS, Amyotrophic 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 articulation, The 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) signals, IEEE 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 approach, Data 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 samples, ACL/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 data, ACL/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 model, Proc. 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 samples, Proc. 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 subsystems, PLOS ONE, 11(5): e0154971, 1-19.
Balasubramanian, A., Wang, J., Balakrishnan, P. (2016). Discovering multidimensional motifs in physiological signals for personalized healthcare, IEEE 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 classification, Journal 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 recognition, Workshop 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 normalization, Workshop 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 training, Proc. Interspeech, pp. 2415-2419.
Hahm, S. & Wang, J. (2015). Parkinson’s condition estimation using speech acoustic and inversely mapped articulatory data, Proc. Interspeech, pp. 513-517.
Begum, N., Ulanova, L., Wang, J., Keogh, E. (2015). Accelerating dynamic time warping clustering with a novel admissible pruning strategy, ACM 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 network, Proc. 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 case, SIAM 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 approach, Behavioral Neurology, no. 183027, 1-11.
2014
Wang, J., Katz, W., & Campbell, T. F. (2014). Contribution of tongue lateral to consonant production, Proc. 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 training, Proc. Interspeech, pp. 1174-1178.
Wang, J., Samal, A., & Green, J. R. (2014). Across-speaker articulatory normalization for speaker-independent silent speech recognition, Proc. 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 articulograph, Workshop 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 approach, Journal 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 battery, Proc. 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 directions, Amyotrophic 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 representations, Workshop 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 analysis, Proc. Interspeech, pp. 1331-35.
Wang, J., Green, J. R., & Samal, A. (2013). Individual articulator’s contribution to phoneme production, Proc. 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 interfaces, Proc. Interspeech, pp. 1327-30.
Wang, J., Samal, A., Green, J. R., & Rudzicz, F. (2012). Sentence recognition from articulatory movements for silent speech interfaces, Proc. 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 sclerosis, Folia 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 vowels, Proc. Interspeech, pp. 277-280.
Wang, J., Green, J. R., Samal, A., & Carrell, T. D. (2010). Vowel recognition from continuous articulatory movements for speaker-dependent applications, Proc. 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 data, Proc. of IEEE Intl. Conf. on Signal Processing and Communication Systems, pp. 1-6.
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.
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.