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S. Rempel

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedSignificance of Speaker Embeddings and Temporal Context for Depression Detection

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CY2021★ 2 cited

Significance of Speaker Embeddings and Temporal Context for Depression Detection

Sri Harsha Dumpala, Sebastian Rodriguez, Sheri Rempel +2

Depression detection from speech has attracted a lot of attention in recent years. However, the significance of speaker-specific information in depression detection has not yet bee…

cs.LG2019

Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples

Habibeh Naderi, Behrouz Haji Soleimani, Stan Matwin

Key features of mental illnesses are reflected in speech. Our research focuses on designing a multimodal deep learning structure that automatically extracts salient features from r…

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