4 citations · 6 across the 9 of their papers we have counts for
7 papers · 1 filter
On the Role of Spatial Features in Foundation-Model-Based Speaker Diarization
Marc Deegen, Tobias Gburrek, Tobias Cord-Landwehr +4
Recent advances in speaker diarization exploit large pretrained foundation models, such as WavLM, to achieve state-of-the-art performance on multiple datasets. Systems like DiariZe…
Spatio-spectral diarization of meetings by combining TDOA-based segmentation and speaker embedding-based clustering
Tobias Cord-Landwehr, Tobias Gburrek, Marc Deegen +1
We propose a spatio-spectral, combined model-based and data-driven diarization pipeline consisting of TDOA-based segmentation followed by embedding-based clustering. The proposed s…
Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks
Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach
We propose a diarization system, that estimates "who spoke when" based on spatial information, to be used as a front-end of a meeting transcription system running on the signals ga…
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network
Tobias Gburrek, Christoph Boeddeker, Thilo von Neumann +3
We propose a system that transcribes the conversation of a typical meeting scenario that is captured by a set of initially unsynchronized microphone arrays at unknown positions. It…
On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-varying Sampling Rate Offsets and Speaker Changes
Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach
A wireless acoustic sensor network records audio signals with sampling time and sampling rate offsets between the audio streams, if the analog-digital converters (ADCs) of the netw…
Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks
Tobias Gburrek, Joerg Schmalenstroeer, Reinhold Haeb-Umbach
In this paper we present an approach to geometry calibration in wireless acoustic sensor networks, whose nodes are assumed to be equipped with a compact microphone array. The propo…
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Networks
Tobias Gburrek, Joerg Schmalenstroeer, Andreas Brendel +2
We present an approach to deep neural network based (DNN-based) distance estimation in reverberant rooms for supporting geometry calibration tasks in wireless acoustic sensor netwo…