"Detecting Depression from Voice" by Mashrura Tasnim and Eleni Stroulia [via @BrianRoemmele] -- exploration of different machine-learning algorithms for detecting depression by analyzing the acoustic features of a person’s voicehttps://link.springer.com/chapter/10.1007/978-3-030-18305-9_47 …
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Replying to @smc90 @BrianRoemmele
I recall my friend Amol from Media lab was working on algorithms detecting/classifying affect (and more) in voice. This was c. 2005. Sandy Pentland’s Lab afaik.
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Replying to @AtulAcharya @smc90
Atul, Indeed! Affect is one of the most important computer Interface frontiers with the #VoiceFirst paradigm shift. In my research I find adding the decoding and presenting of Affect in these voice interactions fundamentally changes how we interact with technology.
2:09 PM - 1 Aug 2019
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