2026-09-21T19:22:45Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/72994 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Levinson, Stephen E. Bryan, Jacob 2015-01-21T19:55:27Z 2015-01-21T19:55:27Z 2017-01-22T10:15:21Z 2014-12 2015-01-21 2014-12 This thesis introduces an autoregressive hidden Markov model (HMM) and demonstrates its application to the speech signal. This new variant of the HMM is built upon the mathematical structure of the HMM and linear prediction analysis of speech signals. By incorporating these two methods into one inference algorithm, linguistic structures are inferred from a given set of speech data. These results extend historic experiments in which the HMM is used to infer linguistic information from text-based information and from the speech signal directly. Given the added robustness of this new model, the autoregressive HMM is suggested as a starting point for unsupervised learning of speech recognition and synthesis in pursuit of modeling the process of language acquisition. Item withdrawn by Laura Spradlin (lspradl2@illinois.edu) on 2014-11-21T20:57:33Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Bryan_Jacob.pdf: 959089 bytes, checksum: 1df632e8d5b0dbde10cff8d78015116d (MD5) Made available in DSpace on 2015-01-21T19:55:27Z (GMT). No. of bitstreams: 1 Jacob_Bryan.pdf: 959089 bytes, checksum: 1df632e8d5b0dbde10cff8d78015116d (MD5) Embargo set by: Seth Robbins for item 73183 Lift date: 2017-01-21T19:56:18Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system U of I Only Restriction Lifted for Item 73183 on 2017-01-22T10:15:21Z. http://hdl.handle.net/2142/72994 en Copyright 2014 Jacob Bryan language acquisition Hidden Markov Model (HMM) linear prediction speech signal processing linear prediction coefficient (LPC) Autoregressive hidden Markov models and the speech signal text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS