“PEDIATRIC SPEECH TECHNOLOGIES AND ACOUSTICS RESEARCH LAB”
Marisha Speights
Co-FounderPeer-Reviewed Publications
Speights Atkins, M., c, Bailey, D. J., Seals, C.D. (2022). Implementation of an automated grading tool for phonetic transcription training. Clinical Linguistics and Phonetics
Liu, J.,s Speights, M., Bailey, D., Li, S., Luan, Y., Mishra, I., … & Seals, C. (2021). Optimization to Automated Phonetic Transcription Grading Tool (APTgt) – Automatic Exam Generator. In: Zaphiris P., Ioannou A. (eds) Learning and Collaboration Technologies: New Challenges and Learning Experiences. HCII 2021. Lecture Notes in Computer Science, vol 12784. Springer, Cham. https://doi.org/10.1007/978-3-030-77889-7_6
Speights Atkins, M.c, Allison, L. H., & Sandage, M. J. (2021). Enhanced mentored undergraduate research experiences: successful strategies used in two laboratories at auburn university. Perspectives of the ASHA Special Interest Groups, 1-14.
Bailey, D.J., Speights Atkins, M., Li, S., Luan, Y., Mishra, I., Seals, C. D., (2021) An automated clinical tool for comparing phonetic transcriptions, Clinical Linguistics and Phonetics. https://doi.org/10.1080/02699206.2021.1896783
Seals, C. D., Li, S., Atkins, M. S., Bailey, D., Liu, J., Cao, Y., & Bassy, R. (2020). Applied Webservices Platform Supported Through Modified Edit Distance Algorithm: Automated Phonetic Transcription Grading Tool (APTgt). In International Conference on Human-Computer Interaction (pp. 380-398). Springer, Cham.
Li, S., Speights Atkins, M., Bailey, D., Liu, J., Cao, Y., Bassy, R., and Seals, C. D. (2020) Software engineering to develop online phonetics educational training: Interdisciplinary research with Communication Sciences and Disorders. In Proceedings of the American Society of Engineering Education Southeastern Section Annual Conference. Auburn, AL.
Speights Atkins, M., Willoughby, K.E., Boyce, S.E. (2020). Speech Exemplar and Evaluation Database (SEED) for clinical training in articulatory phonetics and speech science. Clinical Linguistics and Phonetics. https://doi.org/10.1080/02699206.2020.1743761 (Impact Factor 1.25)
Speights Atkins, M., Boyce, S, MacAuslan, J., Silbert, N. (2019). Computer-assisted syllable complexity analysis of continuous speech as a measure of child speech disorder. In Sasha Calhoun, Paola Escudero, Marija Tabain & Paul Warren (eds.) Proceedings of the 19th International Congress of Phonetic Sciences, Melbourne, Australia 2019 (pp.1103-1107 ) Canberra, Australia: Australian Speech Science and Technology Association. https://assta.org/proceedings/ICPhS2019Microsite/pdf/full-paper_465.pdf
Speights Atkins, M., Seals, C., Bailey, D. J. (2019) At the intersection of applied sciences: Integrated learning models in computer science and software engineering and communication disorders. Science Education and Civic Engagement: An International Journal, 11(1), 37-43. http://new.seceij.net/articletype/winter-2019-from-the-editors/
Speights Atkins, M., Washington, K., Silbert, N., MacAuslan, J., Tuhohy, S., Blades, R., … & Swanson, K. (2017). Towards automated detection of similarities and differences in bilingual speakers. In Proceedings of Meetings on Acoustics 174ASA (Vol. 31, No. 1, p. 060006). https://asa.scitation.org/doi/abs/10.1121/2.0000982
Boyce, S., Speights, M. L., Ishikawa, K., MacAuslan, J. (2013) SpeechMark Acoustic Landmark Tool: Application to Voice Pathology. (2013). In INTERSPEECH (pp. 2672-2674). Lyon, France. Retrieved from http://www.isca-speech.org/archive/interspeech_2013/i13_2672.html
Conference Proceedings & Presentations
Liu, J.s, Chang, R.s, Li, Sicheng.s, Seals, C. D., Speights Atkins, M. (Accepted) MFCC based convolutional neural network speech disorders classification. Human Computer Interaction International, Virtual (2022).
Liu, J.s, Changs, R., Li, S.s, Seals, C. D., Speights Atkins, M. (Accepted). Transformer based G2P system for phonetic transcription E-learning system. Human Computer Interaction International, Virtual (2022).
Liu, J.s, Speights, M., Bailey, D., Li, Ss., Zhou, H.s, Luan, Y.s, … & Seals, C. (2021, December). Speech Disorders Classification in Phonetic Exams with MFCC and DTW. In 2021 IEEE 7th International Conference on Collaboration and Internet Computing (CIC) (pp. 35-40). IEEE.
Yousefi Zowjs, F., Suthar, K.s, Speights Atkins, M., He Q. P. (2021, November). Screening of childhood speech disorders with process systems engineering enhanced machine learning, Annual AIChE Meeting, Boston, MA.
Speights Atkins, M., Weaver, A.J., MacAuslan, J., (2021, November). Automated analysis of continuous multisyllable productions in preschool age children. American Speech Language and Hearing Association National Convention, Washington, DC.
Li, S., Speights Atkins, M. Bailey, D. J., Liu, J., Cao, J., Bassy, R., Seals, C (2020. March) Interdisciplinary Research in Communications Sciences and Disorders and Software Engineering to Develop Online Phonetics Educational Training Modules. ASEE-SE 2020 American Society of Engineering Education – South Eastern, Auburn, AL (2020, March).
Speights Atkins, M., Willoughby, K., & Weaver, A. (2019, November). Towards an explanatory child speech intelligibility test using phonetically contrasted words, American Speech Language and Hearing Association National Convention Orlando, FL.
Speights Atkins, M., MacAuslan,J., Brooks, A., Hanner, E., Fan, S., Zhai,Y., & Galliard, P. (2019, November). Computerized Triage Screening Tool for Early Detection of Speech Sound Disorders In Children, American Speech Language and Hearing Association National Convention Orlando, FL.
Speights Atkins, M., Seals, C., Bailey, D.J. (2019, August). Fostering undergraduate and graduate interdisciplinary research in communications sciences and disorders and software engineering to develop online phonetics training modules, SENCER Summer Institute (SSI), Case Western, OH
Speights Atkins, M., Seals, C., Bailey, D.J. (2018, August). The Automated Phonetic Transcription Grading Tool: Where computer science meets clinical problem solving in communication disorders, SENCER Summer Institute (SSI), Santa Clara, CA
Speights, M. L., Ishikawa, K., Boyce, S, MacAuslan, J., Fell, H., Ungruhe, J., Longpre, K. (2015, November). Automatic syllabic cluster of children’s speech data to identify speech-disorders, American Speech Language and Hearing Association National Convention Denver, CO.
Invited Talks
Cychosz, M., Holt, Y., Knowles, T., Speights Atkins, M. (2022, November) Best Practices for Scientific Data Collection, Management, and Analysis: Session 1, Select and Collect. American Speech Language and Hearing Association National Convention, New Orleans.
Cychosz, M., Holt, Y., Knowles, T., Speights Atkins, M. (2022, November) Best Practices for Scientific Data Collection, Management, and Analysis: Session 2: Analyze and Apply. American Speech Language and Hearing Association National Convention, New Orleans.
Speights Atkins, (2022, March) Towards AI-powered automated analysis of continuous speech samples for speech disorder detection in young children. NYU CSD Spring 2022 Colloquium Series, New York University.
Speights Atkins, (2021, April) Computer-assisted syllable analysis of continuous speech as a measure of child speech disorder. Center for Clinical and Translational Science (CCTS), University of Alabama, Birmingham (UAB), Telehealth Network.
Speights Atkins, M. (2021, February) Suddenly remote: Online strategies for speech science research and teaching, Northwestern University.
Speights Atkins, M. (2021, February) Live Discussion– Remote speech science: Ideas for research and clinical practice, American Speech-Language-Hearing Association SIG 19.
Poster Presentations
Bailey, D.J, Whitfield, J, Dromey, C. Speights, M. (2020, February). The Role of Mental Simulation in Speech Motor Learning, Motor Speech, Santa Barbara, CA.
Speights Atkins, M., Willoughby, K., Livio, J., & Weaver, A. (2019, November). Crowdsourcing for Ecologically Valid Recruitment of Research Participants for Child Intelligibility Studies, American Speech Language and Hearing Association National Convention Orlando, FL.
Bennett, A., Robinson, J., Speights Atkins, M. (2019, November). Mixed-Methods analysis of student phonetic transcription confidence, American Speech Language and Hearing Association National Convention Orlando, FL.
Speights Atkins, M., Weaver, A., Seals, C., Bowling, C., & Holm, B. (2019, August). Developing a model of SENCERized labs at Auburn University, SENCER Summer Institute (SSI), Case Western, OH.
Speights Atkins, M., Bailey, D.J. (November, 2018) Increasing student confidence in transcription using an automated phonetic transcription grading, American Speech-Language-Hearing Association Annual Convention, Boston, MA.
Speights Atkins, M., Bailey, D. J., Willoughby, K., MacGraw, M., Montalvo, M. (2018, November). Speech Exemplar & Evaluation Database for Teaching, S.E.E.D., American Speech-Language-Hearing Association Annual Convention, Boston, MA.
Speights, M., Gilbert, K. D., MacAuslan, J., & Goldhor, R. (2018). Automated episode selection of child continuous speech via blind source extraction. The Journal of the Acoustical Society of America, 144(3), 1964-1964.
Speights, M., Silbert, N. H., MacAuslan, J., Blades, R., Maya, D., Swanson, K., … & Washington, K. (2017). Towards automated detection of similarities and differences in bilingual speakers. The Journal of the Acoustical Society of America, 142(4), 2727-2727.
Speights, M., Boyce, S. E., MacAuslan, J., & Silbert, N. H. (2017). Automated analysis of syllable complexity in children as an indicator of speech disorder. The Journal of the Acoustical Society of America, 141(5), 3837-3837.
Speights, M., Ishikawa, K., Boyce, S. E., & MacAuslan, J. (2017). Automated screening for speech disorders using acoustic landmark detection. The Journal of the Acoustical Society of America, 141(5), 3837-3837.
Speights, M., Boyce, S., MacAuslan, J., Ishikawa, K., Fell, H., and Ungruhe, J. (May, 2015). Measurement of child speech complexity using acoustic landmark detection. Acoustical Society of America. Pittsburgh, PA.
Speights, M. & Boyce, S. (2014, October). Usability of speechmark for teaching speech acoustics. Acoustical Society of America, Indianapolis, IN.
Ishikawa, K., Speights, M. L., Boyce, S, MacAuslan, and J. (2014, May) Intelligibility in dysphonic speech Landmark-based measures. Acoustical Society of America, Providence, RI.
Published Web Applications
Speights Atkins, M., Bailey, D. J., Seals, C. D., Li, G; Bassy, R., Cao, Y., Li, S., Bennett, A., Ren, C., Luan, Y., Ren, C., Mishra, I. & Liu, J., (2020). Automated Phonetic transcription grading tool [Computer software]. AUrora: Auburn University Scholarly Repository. http://dx.doi.org/10.35099/aurora-6
Bailey, D. J., Speights Atkins, M., Seals, C. D., Cao, Y., Li, S., Bennett, A., Liu, J., Liu, Y., & Mishra, I. (2020). Automated Phonetic transcription comparison tool [Computer software]. AUrora: Auburn University Scholarly Repository. http://hdl.handle.net/11200/49809
Speights Atkins, M., Livio, J., Tran, B., & Willoughby, K. E. (2019). Intelliturk: Speech Intelligibility Perception Study Platform for Amazon Mechanical Turk. https://intelliturk.auburn.edu/About
Speights Atkins, M., Boyce, S. E., & Willoughby, K. E. (2018). SEED-Speech Exemplars and Evaluation Database. http://www.cla.auburn.edu/cmdstechlab/software-resources/seed-speech-exemplars-and-evaluation-database/