Pitch Estimation for Analysis and Classification of Speech Situations
Citation
Lin, Jonathan Z. 2018. Pitch Estimation for Analysis and Classification of Speech Situations. Master's thesis, Harvard Extension School.Abstract
In this project, I implemented a suite of software tools to demonstrate the feasibility of a speech audio processing application, i.e. automatic classification of conversational speech situations. First, I re-implemented a classical pitch tracking algorithm for speech processing - the RAPT algorithm (A Robust Algorithm for Pitch Tracking, Talkin 1995). Next, I collected and analyzed a novel corpus of podcast speech audio samples. Finally, I created an application-specific classification algorithm and evaluated its performance.Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37365423
Collections
- DCE Theses and Dissertations [1189]
Contact administrator regarding this item (to report mistakes or request changes)