HomePublications

Acoustic environment classification

Research output: Contribution to journalArticle

DOI

Authors

Organisational units

Abstract

The acoustic environment provides a rich source of information on the types of activity, communication modes, and people involved in many situations. It can be accurately classified using recordings from microphones commonly found in PDAs and other consumer devices. We describe a prototype HMM-based acoustic environment classifier incorporating an adaptive learning mechanism and a hierarchical classification model. Experimental results show that we can accurately classify a wide variety of everyday environments. We also show good results classifying single sounds, although classification accuracy is influenced by the granularity of the classification.

Details

Original languageEnglish
Pages (from-to)1-22
Number of pages22
JournalACM Transactions on Speech and Language Processing
Volume3
Issue number2
DOIs
Publication statusPublished - Jul 2006
Peer-reviewedYes

View graph of relations

ID: 896244

Related by author
  1. Email classification for automated service handling

    Research output: Contribution to conferencePaper

  2. A multi-modal portal for automated customer information

    Research output: Contribution to conferencePaper

  3. Context Awareness using Environmental Noise Classification

    Research output: Contribution to conferencePaper

  4. Environmental Noise Classification for Context-Aware Applications

    Research output: Chapter in Book/Report/Conference proceedingChapter