Technologies for Speech-Language Research Lab

Publications & Presentations

Publications

Seals, C., Li, S. Speights Atkins, M., Bailey, D., Jueting, L. Cao, Y., Bassey, R. (accepted). Applied Webservices Platform supported through Modified Edit Distance Algorithm:
Automated Phonetic Transcription Grading Tool (APTgt). In Proceedings Human Computer Interaction International Conference, HCII 2020, Copenhagen, Denmark, July, 2020. Springer.

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


Presentations

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.


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

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/

Last Updated: July 07, 2020