Daily sound recognition using a combination of GMM and SVM for home automation
Open accessAbstract
Publication in the conference proceedings of EUSIPCO, Bucharest, Romania, 2012
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Sound classification in the home is very difficult given the large number of sound events that can occur and the difficulty to disambiguate them.
“sound classification in the home is very difficult given the large number of sound events that can occur (Sehili et al., 2012) and the difficulty to disambiguate them”
From Making Emergency Calls More Accessible to Older Adults Through a Hands-free Speech Interface in the House (2019) · cites this paper as Sehili et al., 2012
Cited by
Sorted by citations
Vacher, M., Aman, F., Rossato, S., Portet, F., & Lecouteux, B. (2019) · ACM Transactions on Accessible Computing · doi:10.1145/3310132 · Cited by 10 · see citing works
- Authors
- Boudy, J., Dorizzi, B., Istrate, D., & Sehili, M. A.
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2012-08-27
- OpenAlex
- W6949784102
- Cited by
- 0
- References
- 0
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- Locations
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
- Zenodo (CERN European Organization for Nuclear Research) (cc-by)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- sound recognition, Gaussian mixture model, support vector machine, home automation, voice commands
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
