Projects from Prof. Dr. Reinhold H?b-Umbach
WestAI - AI Service Center West
F?rderprogramm KI7_Aufbau von KI-Servicezentren
Duration: 11/2022 - 12/2025
Contact: Dr.-Ing. J?rg Schmalenstr?er
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
Automatic transcription of conversation situations
Multi-talker conversational speech recognition is concerned with the transcription of audio re?cordings of formal meetings or informal get-to?gethers 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
Learning deep speech representations for phonetics research
The speech signal is a rich source of informa?tion 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 varia?tions of the speech signal, and mostly obscure to speech research. With ...
Duration: 04/2021 - 12/2024
Technically Enabled Explaining of Speaker Traits
The speech signal is a rich source of informa?tion that conveys linguistic but also what is termed para- or extralinguistic content, revea?ling 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
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
Distributed Acoustic Signal Processing over Wireless Sensor Networks
We consider an acoustic sensor network, where different applications, such as source separation and extraction, should be executed. A straightforward solution might be to transport all data to a gateway node and process it there. This is, however, not necessarily the best solution (data rate bottlenecks, large latency for big acoustic data). We ...
Duration: 01/2017 - 12/2023
Sound Recognition with Limited Supervision over Sensor Networks
A mismatch between training and test data statistics can result in a significant degradation of performance of machine learning systems. For sound recognition in acoustic sensor net?works (ASNs) this is a significant issue because of the huge number and variability of sounds and acoustic environments, and because of the large variety of sensor ...
Duration: 01/2017 - 12/2023
Acoustic Sensor Networks Research Group
This Research Unit investigates solutions and limitations for acoustic signal processing and classification over coustic sensor networks. We aim to tackle current shortcomings and to develop a common platform which will make ASNs more adaptive to the variability of acoustic environments and sensor configurati?ons, less dependent on supervision, and ...
Duration: 01/2017 - 12/2023
FOR 2457 – Unsupervised Acoustic Event Detection and Scene Classification over Sensor Networks (Subproject)
For many applications of acoustic sensor networks acoustic signal extraction and enhancement is not the eventual goal but only a necessary intermediate step on the way to classify and interpret the audio signals. In this project we are going to develop acoustic event detection and acoustic scene classification methods for the interpretation of the ...
Duration: 10/2016 - 12/2021
Contact: Janek Ebbers