Current projects
WestAI - AI Service Center West
Förderprogramm KI7_Aufbau von KI-Servicezentren
Duration: 11/2022 - 12/2025
Funded by: BMBF
Contact: Dr.-Ing. Jörg Schmalenströer
SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems
Current systems that incorporate AI technology mainly target the introduction phase, where a core component is training and adaptation of AI models based on given example data. SAIL’s focus on the full life-cycle moves the current emphasis towards sustainable long-term development in real life. The joint project SAIL addresses both basic research ...
Duration: 08/2022 - 07/2026
Funded by: MKW NRW
TRR 318 - Constructing Explainability
In unserer digitalen Gesellschaft nehmen die algorithmischen Ansätze (wie das maschinelle Lernen) rasant an Komplexität zu. Diese erschwert es den Bürger:innen, die Assistenz nachzuvollziehen und die von Algorithmen vorgeschlagenen Entscheidungen zu akzeptieren. Als Antwort auf diese gesellschaftliche Herausforderung hat die Forschung begonnen, ...
Duration: 07/2021 - 06/2025
Funded by: DFG
TRR 318 - Technically enabled explanation of speaker traits (Subproject C06)
A voice might be described as hoarse, or it may be clear, deep, or breathy. Researchers in Project C06 are looking at issues of how different vocal traits sound, and how a voice can be represented in all of its many facets. Here, linguists and computer scientists are working to develop an intelligent system that professionals can use to explain the ...
Duration: 07/2021 - 06/2025
Funded by: DFG
Automatic transcription of conversation situations
Multi-talker conversational speech recognition is concerned with the transcription of audio recordings of formal meetings or informal get-togethers in machine-readable form using distant microphones. Current solutions are far from reaching human performance. The difficulty of the task can be attributed to three factors. First, the recording ...
Duration: 05/2021 - 12/2024
Funded by: DFG
Learning deep speech representations for phonetics research
The speech signal is a rich source of information that conveys not only linguistic but also extra/para-linguistic information, such as the speaker's identity, gender, emotional state, age, or the social status. However, those traits are hidden in complex, non-transparent variations of the speech signal, and mostly obscure to speech research. With ...
Duration: 04/2021 - 12/2024
Funded by: DFG
Explainable Feature Importance: Interpretable machine learning through game theoretic analysis of influence variables and interaction effects
Machine learning (ML) methods support the search for patterns in data and relationships between variables, e.g. in complex bio-medical systems. In this way, they can provide new insights and improve decisions in fields of action such as medical diagnostics. In addition to the quality of the models learned from the data, the trust of human experts ...
Duration: 01/2021 - 12/2024
Funded by: MKW NRW
Technically Enabled Explaining of Speaker Traits
The speech signal is a rich source of information that conveys linguistic but also what is termed para- or extralinguistic content, revealing a speaker’s identity, gender, emotional or cognitive state, age, and health. These traits have been the subject of many investigations in phonetics, but due to the high complexity of the underlying ...
Duration: 01/2021 - 12/2025
Funded by: DFG