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» Combining Multiple Models for Speech Information Retrieval
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SIGIR
2006
ACM
13 years 11 months ago
Probabilistic latent query analysis for combining multiple retrieval sources
Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retr...
Rong Yan, Alexander G. Hauptmann
CLEF
2005
Springer
13 years 11 months ago
CLEF 2005: Multilingual Retrieval by Combining Multiple Multilingual Ranked Lists
: We participated in two tasks: Multi-8 two-years-on retrieval and Multi-8 results merging. For our multi-8 two-years-on retrieval work, simple multilingual ranked lists are first ...
Luo Si, Jamie Callan
SPEECH
2011
13 years 21 days ago
Combining localization cues and source model constraints for binaural source separation
We describe a system for separating multiple sources from a two-channel recording based on interaural cues and prior knowledge of the statistics of the underlying source signals. ...
Ron J. Weiss, Michael I. Mandel, Daniel P. W. Elli...
EMNLP
2004
13 years 7 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
CIKM
2007
Springer
13 years 12 months ago
Combining resources with confidence measures for cross language information retrieval
Query translation in Cross Language Information Retrieval (CLIR) can be performed using multiple resources. Previous attempts to combine different translation resources use simple...
Youssef Kadri, Jian-Yun Nie