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MOOD STATE PREDICTION FROM SPEECH OF VARYING ACOUSTIC QUALITY FOR INDIVIDUALS WITH BIPOLAR DISORDER
Speech contains patterns that can be altered by the mood of an individual. There is an increasing focus on automated and distributed methods to collect and monitor speech from large groups of patients suffering from mental health disorders. However, as the scope of these collections increases, the v...
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| Pubblicato in: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4995442/ https://ncbi.nlm.nih.gov/pubmed/27570493 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICASSP.2016.7472099 |
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