Working Papers

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The Statistical Speech Technology Working Papers (SSTWP) is intended as an opportunity for students, alums, post-docs and others to work out the kinks in their ideas before submitting them elsewhere for publication. SSTWP will be printed as a twice-annual book, copies of which will be given to each author. The book will not be republished on line, though the titles of SSTWP papers will be listed on this page. Each paper will be reviewed by four independent reviewers: Everyone who submits a paper will also be asked to review four other papers. Reviews should give the author detailed advice for improving the paper up to the publication standards of relevant professional societies (IEEE, ACM, ASA, ISCA). Participation in this process is considered to be an important and required part of graduate study in the Statistical Speech Technology group; senior students with many published papers are expected to participate, as a way of sharing their insight with younger students who have not yet published.

SSTWP papers are considered to be unpublished manuscripts. An author may post his or her manuscript on his or her private web page (just like any other unpublished manuscript), but the manuscripts will not be posted here. If you are from outside Urbana, and would like a copy of one of these papers, please write directly to the author.

DEADLINES

In spring semester 2010, deadlines will be as follows.

January 31
Manuscripts due from everybody
February 28
First-round reviews completed
March 31
Revised manuscripts submitted
April 30
Second-round reviews completed
May 31
Final manuscripts submitted

MANUSCRIPTS, SPRING 2010

The following manuscripts are in the SSTWP review process for spring 2010.

Multi-Modal Fusion on Audio-Visual Event Detection
Po-Sen Huang
Robust automatic speech recognition using HMM trained in cepstral domain with decoder oriented missing feature classifier
Lae-Hoon Kim
State-Transition Interpolation and MAP Adaptation for HMM-based Dysarthric Speech Recognition
Harsh Vardhan Sharma
Tool for finding words and speech sounds in an unknown database
Alejandro Lopez-Morales
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