Sebastian Schnieder
Signal Processing · 2013–2015
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 14 citations into it
Whom Sebastian Schnieder trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sebastian Schnieder's perspective
Ordered by how strongly the researchers Sebastian Schnieder trusts endorse each paper. Same corpus, a different order for every researcher.
- The Hamilton Depression Rating Scale: has the gold standard become a lead weight? (American Journal of Psychiatry)
- Speaker Verification Using Adapted Gaussian Mixture Models
- Detecting depression from facial actions and vocal prosody (2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops)
- Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (Speech Communication)
- Paralinguistics in speech and language - State-of-the-art and the challenge
- Correlation-based Feature Selection for Machine Learning
- Opensmile: the munich versatile and fast open-source audio feature extractor
- An overview of text-independent speaker recognition: From features to supervectors
- Emotion recognition in human-computer interaction (Neural Networks)
- A Study of Interspeaker Variability in Speaker Verification (IEEE Transactions on Audio, Speech, and Language Processing)
Their papers
- A review of depression and suicide risk assessment using speech analysis (2015) — 955 citations
- AVEC 2013: the continuous audio/visual emotion and depression recognition challenge (2013) — 619 citations