Neural Computation
Temporal databases: theory, design, and implementation
Temporal databases: theory, design, and implementation
The object database standard: ODMG 2.0
The object database standard: ODMG 2.0
Statistical methods for speech recognition
Statistical methods for speech recognition
Multimedia description framework (MDF) for content description of audio/video documents
Proceedings of the fourth ACM conference on Digital libraries
Heuristic approach for generic audio data segmentation and annotation
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
The Cambridge University Multimedia Document Retrieval demo system (demonstration session)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Maintaining knowledge about temporal intervals
Communications of the ACM
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Everything You Wanted to Know About MPEG-7: Part 1
IEEE MultiMedia
Everything You Wanted to Know About MPEG-7: Part 2
IEEE MultiMedia
An Object-Oriented Schema for Querying Audio
OOIS '02 Proceedings of the 8th International Conference on Object-Oriented. Information Systems
The X-tree: An Index Structure for High-Dimensional Data
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Audio Structuring and Personalized Retrieval Using Ontologies
ADL '00 Proceedings of the IEEE Advances in Digital Libraries 2000
Proceedings of the 2006 ACM symposium on Applied computing
Automatically linking live experiences captured with a ubiquitous infrastructure
Multimedia Tools and Applications
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The growing digitization of multimedia content must be supported by a set of tools to manipulate them, and especially to query them. This is one of the major goals of an audio DBMS. Yet, existing work related to audio documents, e.g., radio or television archives, often leave the DBMS question open. In this paper, we lay the foundations for integrating audio into a general purpose DBMS, in the form of an audio abstract data type, along with its properties and associated operators. This contribution is coupled with an unsupervised statistically-founded speaker-based partitioning technique. For each of these two aspects, the paper underlines the practical interest and some technical difficulties. Also, some query examples introduce the problem of the complexity of the querying expressions as well as of time complexity.