Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/565885
Title: | Evaluation of Out of Breath Speech Using Machine Learning Approaches |
Researcher: | Sahoo, Sibasis |
Guide(s): | Dandapat, Samarendra |
Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
University: | Indian Institute of Technology Guwahati |
Completed Date: | 2024 |
Abstract: | Stress alters the speech production mechanism. Factors like emotion, cognitive load, pathology, noisy condition (Lombard effect), physical load, sleep deprivation, etc., affect speech production. Among these, speech under emotional, noisy, and pathological conditions are investigated extensively. Little light has been shed on speech under physical load conditions, called out-of-breath speech. Such evaluation of out-of-breath conditions can be used in context-aware speech interfaces to estimate the workload level, exercise intensity of an athlete, and physical fitness of a person. |
Pagination: | |
URI: | http://hdl.handle.net/10603/565885 |
Appears in Departments: | DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING |
Files in This Item:
File | Description | Size | Format | |
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01_fulltext.pdf | Attached File | 5.67 MB | Adobe PDF | View/Open |
04_abstract.pdf | 84.31 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 180.01 kB | Adobe PDF | View/Open |
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