Automatic speech recognition: A primer for speech-language pathology researchers

Author:

Keshet Joseph1

Affiliation:

1. Department of Computer Science, Bar-Ilan University, Ramat Gan, Israel

Publisher

Informa UK Limited

Subject

Speech and Hearing,LPN and LVN,Language and Linguistics,Otorhinolaryngology,Research and Theory

Reference86 articles.

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3. Bocklet, T., Nöth, E., Stemmer, G., Ruzickova, H. & Rusz, J. (2011, December). Detection of persons with Parkinson's disease by acoustic, vocal, and prosodic analysis. In Proceedings of the 12th IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) (pp. 478–483). Hawaii: IEEE.

4. Automatic Intelligibility Assessment of Speakers After Laryngeal Cancer by Means of Acoustic Modeling

5. Bocklet, T., Steidl, S., Nöth, E. & Skodda, S. (2013). Automatic evaluation of Parkinson's speech-acoustic, prosodic and voice related cues. In Proceedings of the 14th Annual Conference of the International Speech Communication Association (INTERSPEECH) (pp. 1149–1153). ISCA: Lyon, France.

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