JOURNAL ARTICLE

Semantic-audio retrieval

Malcolm Slaney

Year: 2002 Journal:   IEEE International Conference on Acoustics Speech and Signal Processing Pages: IV-4108

Abstract

This paper describes a system for connecting sounds and words in linked multi-dimensional vector spaces. The acoustic space is represented using anchor models and partitioned using agglomerative clustering. The semantic space is modeled by a hierarchical multinomial clustering model. Nodes in one space are linked by probabilistic models to the other space. With these linked models, users retrieve sounds with natural language, and the system describes new sounds with words.

Keywords:
Computer science Cluster analysis Space (punctuation) Vector space model Probabilistic logic Natural sounds Semantic space Hierarchical clustering Artificial intelligence Semantics (computer science) Multinomial distribution Vector space Speech recognition Natural language processing Mathematics

Metrics

101
Cited By
2.90
FWCI (Field Weighted Citation Impact)
9
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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