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INFERRING SOCIAL CONTEXTS FROM AUDIO RECORDINGS USING DEEP NEURAL NETWORKS
In this paper, we investigate the problem of detecting social contexts from the audio recordings of everyday life such as in life-logs. Unlike the standard corpora of telephone speech or broadcast news, these recordings have a wide variety of background noise. By nature, in such applications, it is...
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| Gepubliceerd in: | IEEE Int Workshop Mach Learn Signal Process |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7934587/ https://ncbi.nlm.nih.gov/pubmed/33680571 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/MLSP.2014.6958853 |
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