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Speechpal: Intergrating Automatic Speech Recognition and Large Language Models for Enhancing Expressive Communication in Aphasic Individuals.

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dc.contributor.author Gunathilaka, Pahan
dc.date.accessioned 2024-04-02T10:15:21Z
dc.date.available 2024-04-02T10:15:21Z
dc.date.issued 2023
dc.identifier.citation Gunathilaka, Pahan (2023) Speechpal: Intergrating Automatic Speech Recognition and Large Language Models for Enhancing Expressive Communication in Aphasic Individuals.. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018339
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1977
dc.description.abstract "This study introduces “SpeechPAL”, a speech recognition and prediction system designed for individuals with expressive language disorders. Throughout the project, the author has used Broca’s aphasia as an example of expressive language disorder, a disorder resulting from a neurological condition. The author utilizes Automatic Speech Recognition (ASR) and Large Language Models (LLMs) to develop the system and it serves as a tool for enhancing expressive verbal communication. In addition, during the testing and evaluation phases, the whisper model was assessed using the aphasia bank dataset and benchmarked. The chosen LLM could achieve a perplexity of 1.90, indicating the effectiveness of the model in predicting speech within the context of aphasia. " en_US
dc.language.iso en en_US
dc.subject Automatic Speech Recognition en_US
dc.subject Large Language Models en_US
dc.subject Artificial Intelligence en_US
dc.title Speechpal: Intergrating Automatic Speech Recognition and Large Language Models for Enhancing Expressive Communication in Aphasic Individuals. en_US
dc.type Thesis en_US


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