Long-time span acoustic activity analysis from far-field sensors in smart homes

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 4173-4176

  Huang, Jing ^a   Zhuang, Xiaodan ^a,b   Libal, Vit ^a   Potamianos, Gerasimos ^a,c  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b University of Illinois at Urbana Champaign   (United States)

^c INSTITUTE OF INFORMATICS AND TELECOMMUNICATIONS   (Greece)

Author keywords

Acoustic event detection; Acoustic scene analysis; Activities of daily living; Smart homes

Indexed keywords

ACOUSTIC ACTIVITY; ACOUSTIC EVENT DETECTION; ACOUSTIC EVENTS; ACOUSTIC SCENE ANALYSIS; ACTIVITIES OF DAILY LIVING; AGING POPULATION; CLASSIFICATION ACCURACY; CLASSIFICATION TASKS; CRITICAL PROBLEMS; FAR-FIELD; GAUSSIAN MIXTURE MODEL; INTEGRATED PROJECT; OUTPUT SEQUENCES; POST-PROCESSING STAGES; RESEARCH COMMUNITIES; SMART HOMES; SPECIFIC LANGUAGES; STATISTICAL MODELS; SUPERVECTOR; TIME SPAN; TWO-STEP APPROACH;

COMPUTATIONAL LINGUISTICS; HIDDEN MARKOV MODELS; MAGNETOSTRICTIVE DEVICES; OBJECT RECOGNITION; SIGNAL DETECTION; SIGNAL PROCESSING; SPEECH RECOGNITION; SUPPORT VECTOR MACHINES;

ACOUSTICS;

EID: 70349213420     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960548     Document Type: Conference Paper

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