References
- Ahmed, B., Monroe, P., Hair, A., Tan, C.T., Gutierrez-Osuna, R., & Ballard, K.J. (2018). Speech-driven mobile games for speech therapy. International Journal of Speech-Language Pathology, 20(5).
- Buz, E., Buchwald, A., & Keshet, J. (2018). Assessing automatic phonetic annotation tools using unimpaired and impaired speech. International Journal of Speech-Language Pathology, 20(5).
- Campbell, H., Harel, D., Hitchcock, E., & McAllister Byun, T. (2017). Selecting an acoustic correlate for automated measurement of /r/ production in children. International Journal of Speech-Language Pathology, 20(5). doi:10.1080/17549507.2017.1359334
- Keshet, J., (2018). Automatic speech recognition: A primer for speech pathology researchers. International Journal of Speech-Language Pathology, 20(5). doi:10.1080/17549507.2018.1462851
- McKechnie, J., Ballard, K.J., McCabe, P., Monroe, P., Gutierrez-Osuna, R., & Ahmed, B. (2018). Automated speech analysis tools for assessment, diagnosis and/or modification of speech production: A systematic search and review. International Journal of Speech-Language Pathology, 20(5). doi:10.1080/17549507.2018.1477991
- Niziolek, C.A., & Kiran, S. (2018). Assessing speech correction abilities with acoustic analyses: Evidence of preserved online correction in persons with aphasia. International Journal of Speech-Language Pathology, 20(5).
- Rong, P., Yunusova, Y., Richburg, B., & Green, J. (2018). A diagnostic tool for assessing articulatory involvement in ALS: Automatic extraction of abnormal speech movement features from the alternating motion rate (AMR) task. International Journal of Speech-Language Pathology, 20(5).
- Wang, J., Kothalkar, P., Kim, M., Cao, B., Yunusova, Y., Campbell, T., … Green, J. (2018). Automatic speech severity prediction for individuals with ALS from a single speech acoustic and articulatory sample. International Journal of Speech-Language Pathology, 20(5). doi:10.1080/17549507.2018.1408855