activity
20202024
most citedA Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network

2 citations · 4 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SD2024

Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room Reverberation Models

Tobias Gburrek, Adrian Meise, Joerg Schmalenstroeer +1

The room impulse response (RIR) encodes, among others, information about the distance of an acoustic source from the sensors. Deep neural networks (DNNs) have been shown to be able…

eess.AS2023

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…

cs.SD2023

LibriWASN: A Data Set for Meeting Separation, Diarization, and Recognition with Asynchronous Recording Devices

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…

eess.AS2022★ 2 cited

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…

eess.AS2021

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…

cs.SD2021★ 2 cited

A Database for Research on Detection and Enhancement of Speech Transmitted over HF links

Jens Heitkaemper, Joerg Schmalenstroeer, Joerg Ullmann +2

In this paper we present an open database for the development of detection and enhancement algorithms of speech transmitted over HF radio channels. It consists of audio samples rec…

cs.SD2021

Open Range Pitch Tracking for Carrier Frequency Difference Estimation from HF Transmitted Speech

Joerg Schmalenstroeer, Jens Heitkaemper, Joerg Ullmann +1

In this paper we investigate the task of detecting carrier frequency differences from demodulated single sideband signals by examining the pitch contours of the received baseband s…

eess.AS2020

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…

eess.AS2020

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…

eess.AS2020

Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments

Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach

Speech activity detection (SAD), which often rests on the fact that the noise is "more" stationary than speech, is particularly challenging in non-stationary environments, because…