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1
Measuring and Comparing Social Bias in Static and Contextual Word Embeddings
Mora, Alan Cueva. - : Technological University Dublin, 2022
In: Dissertations (2022)
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2
Affect-enhancing speech characteristics - the influence of verbal and prosodic components ...
Klüber, Kim. - : Open Science Framework, 2022
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3
Affect-enhancing speech characteristics ...
Klüber, Kim. - : Open Science Framework, 2022
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4
Statistical dictionary development ...
Buljan, Ivan. - : Open Science Framework, 2021
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5
Control Glove ...
Hettchen, Matthew; Prosser, Christopher. - : University of Wyoming, 2021
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6
Control Glove ...
Hettchen, Matthew; Prosser, Christopher. - : University of Wyoming, 2021
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7
Control Glove ...
Hettchen, Matthew; Prosser, Christopher. - : University of Wyoming, 2021
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8
EMERGENCY MEDICAL SERVICE EMR-DRIVEN CONCEPT EXTRACTION FROM NARRATIVE TEXT ...
George, Susanna S. - : Purdue University Graduate School, 2021
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9
EMERGENCY MEDICAL SERVICE EMR-DRIVEN CONCEPT EXTRACTION FROM NARRATIVE TEXT ...
George, Susanna S. - : Purdue University Graduate School, 2021
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10
Sentence-Level Classification Using Parallel Fuzzy Deep Learning Classifier ...
Qadir, Junaid. - : figshare, 2021
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11
Sentence-Level Classification Using Parallel Fuzzy Deep Learning Classifier ...
Qadir, Junaid. - : figshare, 2021
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12
Exploiting BERT and RoBERTa to Improve Performance for Aspect Based Sentiment Analysis
Narayanaswamy, Gagan Reddy. - : Technological University Dublin, 2021
In: Dissertations (2021)
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13
A Meta-Level Approach for Multilingual Taint Analysis
In: Faculty Publications (2021)
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14
"Is depression related to cannabis?": A Knowledge-infused Model for Entity and Relation Extraction with Limited Supervision
In: Publications (2021)
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15
English as a Medium of Instruction in Learning Professional Skills for Engineers
In: Language Value [EISSN 1989-7103], v. 14 (2), p. 24-44, (Enero 2021) (2021)
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16
Scalable Approaches for Auditing the Completeness of Biomedical Ontologies
In: Theses and Dissertations--Computer Science (2021)
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17
Semantically Meaningful Sentence Embeddings
In: Computer Science and Engineering: Theses, Dissertations, and Student Research (2021)
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18
Bibliometric Survey on Effect of Socio-Economic Factors on Spread of Corona virus (COVID-19)
In: Library Philosophy and Practice (e-journal) (2021)
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19
Evaluating the Performance of Using Speaker Diarization for Speech Separation of In-Person Role-Play Dialogues
In: Browse all Theses and Dissertations (2021)
Abstract: Development of professional communication skills, such as motivational interviewing, often requires experiential learning through expert instructor-guided role-plays between the trainee and a standard patient/actor. Due to the growing demand for such skills in practices, e.g., for health care providers in the management of mental health challenges, chronic conditions, substance misuse disorders, etc., there is an urgent need to improve the efficacy and scalability of such role-play based experiential learning, which are often bottlenecked by the time-consuming performance assessment process. WSU is developing ReadMI (Real-time Assessment of Dialogue in Motivational Interviewing) to address this challenge, a mobile AI solution aiming to provide automated performance assessment based on ASR and NLP. The main goal of this thesis research is to investigate current commercially available speaker diarization capabilities and evaluate their performance in separating the speeches between the trainee and the standard patient/actor in an in-person role-play training environment where the crosstalk could interfere with the operation and performance of ReadMI. Specifically, this thesis research has: 1.) identified the major commercially-available speaker diarization systems, such as those from Google, Amazon, IBM, and Rev.ai; 2.) designed and implemented corresponding evaluation systems that integrate these commercially available cloud services for operating in the in-person role-play training environments; and, 3.) completed an experimental study that evaluated and compared the performance of the speaker diarization services from Google and Amazon. The main finding of this thesis is that the current speaker diarization capabilities alone are not able to provide sufficient performance for our particular use case when integrating them into ReadMI for operating in in-person role-play training environments. But this thesis research potentially provides a clear baseline reference to future developers for integrating future speaker diarization capabilities into similar applications.
Keyword: Computer Engineering; Computer Science; Computer Sciences; Department of Computer Science; Engineering; Physical Sciences and Mathematics; role-play based experiential learning; speaker diarization; speech separation
URL: https://corescholar.libraries.wright.edu/etd_all/2517
https://corescholar.libraries.wright.edu/cgi/viewcontent.cgi?article=3658&context=etd_all
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20
personality-detection-using-bagged-svm-over-bert.pdf ...
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