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Boosting bonsai trees for efficient features combination : application to speaker role identification
In: Interspeech ; https://hal.inria.fr/hal-01025171 ; Interspeech, Sep 2014, Singapour, Singapore (2014)
Abstract: International audience ; In this article, we tackle the problem of speaker role detection from broadcast news shows. In the literature, many proposed solutions are based on the combination of various features coming from acoustic, lexical and semantic information with a machine learning algorithm. Many previous studies mention the use of boosting over decision stumps to combine efficiently these features. In this work, we propose a modification of this state-of-the-art machine learning algorithm changing the weak learner (decision stumps) by small decision trees, denoted bonsai trees. Experiments show that using bonsai trees as weak learners for the boosting algorithm largely improves both system error rate and learning time.
Keyword: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
URL: https://hal.inria.fr/hal-01025171/document
https://hal.inria.fr/hal-01025171
https://hal.inria.fr/hal-01025171/file/interspeech2014.pdf
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2
Human Annotation of ASR Error Regions: is "gravity" a Sharable Concept for Human Annotators?
In: Ninth International Conference on Language Resources and Evaluation (LREC'14) ; https://hal.archives-ouvertes.fr/hal-01134802 ; Ninth International Conference on Language Resources and Evaluation (LREC'14), May 2014, Reykjavik, Iceland. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pp.3050-3056, 2014 ; http://lrec2014.lrec-conf.org/en/ (2014)
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Human annotation of asr error regions: Is ”gravity” a sharable concept for human annotators?
In: Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013) ; https://halshs.archives-ouvertes.fr/halshs-01424915 ; Errors by Humans and Machines in Multimedia, Multimodal, Multilingual Data Processing (ERRARE 2013), Nov 2013, Ermenonville, France (2013)
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