A Content and Knowledge Management System Supporting Emotion Detection from Speech

Vu, Binh Dang; Velasco, Mikel de; Kevitt, Paul Mc; Bond, Raymond; Turkington, Robin; Booth, Frederick; Mulvenna, Maurice; Fuchs, Michael; Hemmje, Matthias

doi:10.1007/978-981-15-8395-7_28

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2021

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“…In MENHIR we are devoting a great effort to data collection, annotation, representation and sharing, see e.g. [14]. We have performed and annotated anonymized recordings of AMH clients and a control group that we are currently processing to obtain relevant features for user state recognition.…”

Section: Recent Advances and Current Workmentioning

confidence: 99%

Towards conversational technology to promote, monitor and protect mental health

Callejas¹,

Griol²,

Benghazi³

et al. 2021

IberSPEECH 2021

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This paper presents a general overview of the H2020-MSCA-RISE project MENHIR (Mental health monitoring through interactive conversations), which aim is to explore the possibilities of conversational technologies (chatbots) to understand, promote and protect mental health and assist people with anxiety and mild depression manage their conditions. MENHIR started on February 2019 and will have a duration of 4 years. Its consortium brings together 8 partners including universities, a non-profit organization and companies.

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Section: Recent Advances and Current Workmentioning

confidence: 99%