2026-09-22T14:36:30Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/121540 2023-12-13 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Choudhury, Romit Roy 2023-08 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms The student, Avinash Subramaniam, accepted the attached license on 2023-07-17 at 18:13. The student, Avinash Subramaniam, submitted this Thesis for approval on 2023-07-17 at 18:40. This Thesis was approved for publication on 2023-07-18 at 11:35. DSpace SAF Submission Ingestion Package generated from Vireo submission #19722 on 2023-12-04 at 17:03:16 Classifying the number of simultaneous speakers in a reverberant environment remains a difficult problem to solve. The less complicated but no less important problem of detecting whether a single speaker or multiple speakers are present also poses a challenge, as multipath often distorts or alters the features commonly used in speaker number classification. When this classification system is used as a front-end to a learning-based system, then it becomes imperative that the classifier be accurate. This thesis presents SinguDetect, an end-to-end system which uses the inter-aural phase differences between a pair of in-ear microphones to classify each 64 ms time window of audio as belonging to one speaker or not. Even in heavily reverberant environments (RT60 = 2.0 s), SinguDetect is still able to maintain a precision of around 0.8 where the number of simultaneous sources is not higher than three, whereas other state-of-the-art algorithms tend to suffer decreases in precision and f-score in this range. Text eng https://hdl.handle.net/2142/121540 Copyright 2023 Avinash Subramaniam Extracting single talker segments from audio mixtures in reverberant environments Subramaniam, Avinash 2023-07-18 Binaural Reverberant Classification M.S. Thesis Electrical & Computer Engr University of Illinois at Urbana-Champaign Electrical & Computer Eng