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ICASSP
2011
IEEE
12 years 7 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
AIRS
2010
Springer
13 years 1 months ago
Re-ranking Summaries Based on Cross-Document Information Extraction
This paper describes a novel approach of improving multi-document summarization based on cross-document information extraction (IE). We describe a method to automatically incorpora...
Heng Ji, Juan Liu, Benoît Favre, Daniel Gill...
MLMI
2004
Springer
13 years 9 months ago
The 2004 ICSI-SRI-UW Meeting Recognition System
We describe the ICSI-SRI-UW team’s entry in the Spring 2004 NIST Meeting Recognition Evaluation. The system was derived from SRI’s 5xRT Conversational Telephone Speech (CTS) r...
Chuck Wooters, Nikki Mirghafori, Andreas Stolcke, ...
ICASSP
2008
IEEE
13 years 10 months ago
Overlapped speech detection for improved speaker diarization in multiparty meetings
State-of-the-art speaker diarization systems for meetings are now at a point where overlapped speech contributes significantly to the errors made by the system. However, little i...
Kofi Boakye, B. Trueba-Hornero, Oriol Vinyals, Ger...