His main research concerns Speech recognition, Audio signal processing, Artificial intelligence, Automatic summarization and Segmentation. His study in the field of Hidden Markov model also crosses realms of Context. His research brings together the fields of Pattern recognition and Artificial intelligence.
The various areas that Lie Lu examines in his Automatic summarization study include Video tracking, Video content analysis, Semantic analysis, Multimedia and Information extraction. His Segmentation study incorporates themes from Speech coding, Video production, Optical character recognition and Audio mining. His Audio mining research includes elements of Vector quantization and Speaker diarisation.
His primary areas of investigation include Speech recognition, Artificial intelligence, Audio signal processing, Pattern recognition and Information retrieval. His Segmentation research extends to the thematically linked field of Speech recognition. His work focuses on many connections between Artificial intelligence and other disciplines, such as Computer vision, that overlap with his field of interest in Computer graphics.
His work on Audio analyzer as part of general Audio signal processing research is frequently linked to Categorization, Radio broadcasting, Unsupervised learning and Cluster analysis, bridging the gap between disciplines. His work in the fields of Similarity measure overlaps with other areas such as Popular music and Context. His research in the fields of Search engine indexing overlaps with other disciplines such as Set, Key and Generative model.
Information retrieval, Speech recognition, Multimedia, Audio mining and Speech coding are his primary areas of study. His Speech recognition study incorporates themes from Feature, Cluster analysis and Pattern recognition. Lie Lu has included themes like Mobile device, Search engine and Search engine indexing in his Multimedia study.
Lie Lu connects Audio mining with Audio signal processing in his study. His study on Audio signal processing is intertwined with other disciplines of science such as Artificial intelligence and Pattern recognition. His Speech coding research integrates issues from Document retrieval, Acoustic model and Segmentation.
Lie Lu spends much of his time researching Information retrieval, Search engine, Multimedia, Speech recognition and Set. Lie Lu has researched Information retrieval in several fields, including Similarity, Document similarity, Discriminative model and Measure. His Search engine research is multidisciplinary, incorporating elements of Internet video and The Internet.
The concepts of his Multimedia study are interwoven with issues in Voice search, Visual search, Search analytics, Search engine indexing and Internet television. The Speech recognition study combines topics in areas such as Similarity measure, Unsupervised learning and Artificial intelligence. Lie Lu integrates many fields in his works, including Set, Similarity and Engineering.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Content analysis for audio classification and segmentation
Lie Lu;Hong-Jiang Zhang;Hao Jiang.
IEEE Transactions on Speech and Audio Processing (2002)
A user attention model for video summarization
Yu-Fei Ma;Lie Lu;Hong-Jiang Zhang;Mingjing Li.
acm multimedia (2002)
Automatic mood detection and tracking of music audio signals
Lie Lu;D. Liu;Hong-Jiang Zhang.
IEEE Transactions on Audio, Speech, and Language Processing (2006)
A generic framework of user attention model and its application in video summarization
Yu-Fei Ma;Xian-Sheng Hua;Lie Lu;Hong-Jiang Zhang.
IEEE Transactions on Multimedia (2005)
A robust audio classification and segmentation method
Lie Lu;Hao Jiang;HongJiang Zhang.
acm multimedia (2001)
Music type classification by spectral contrast feature
Dan-Ning Jiang;Lie Lu;Hong-Jiang Zhang;Jian-Hua Tao.
international conference on multimedia and expo (2002)
Content-based audio classification and segmentation by using support vector machines
Lie Lu;Hong-Jiang Zhang;Stan Z. Li.
Multimedia Systems (2003)
Automatic Mood Detection from Acoustic Music Data
Dan Liu;Lie Lu;Hong-Jiang Zhang.
international symposium/conference on music information retrieval (2003)
Internet search-based television
Frank T. B. Seide;Lie Lu;Neema M. Moraveji;Roger Peng Yu.
(2007)
A flexible framework for key audio effects detection and auditory context inference
R. Cai;Lie Lu;A. Hanjalic;Hong-Jiang Zhang.
IEEE Transactions on Audio, Speech, and Language Processing (2006)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
ByteDance
Delft University of Technology
Microsoft (United States)
Microsoft (United States)
Microsoft (United States)
Chinese Academy of Sciences
City University of Hong Kong
Tsinghua University
Microsoft (United States)
Tsinghua University
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: