no code implementations • 27 Nov 2023 • 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 gathered from an acoustic sensor network (ASN).
1 code implementation • 21 Aug 2023 • Joerg Schmalenstroeer, Tobias Gburrek, Reinhold Haeb-Umbach
We present LibriWASN, a data set whose design follows closely the LibriCSS meeting recognition data set, with the marked difference that the data is recorded with devices that are randomly positioned on a meeting table and whose sampling clocks are not synchronized.
no code implementations • 2 May 2022 • Tobias Gburrek, Christoph Boeddeker, Thilo von Neumann, Tobias Cord-Landwehr, Joerg Schmalenstroeer, Reinhold Haeb-Umbach
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.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 25 Oct 2021 • 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 network devices are not synchronized.
1 code implementation • 11 Dec 2020 • 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.