activity
20192021
most citedSMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition

56 citations · 121 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SD20212 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.AS202051 cited

Asteroid: the PyTorch-based audio source separation toolkit for researchers

Manuel Pariente, Samuele Cornell, Joris Cosentino +11

This paper describes Asteroid, the PyTorch-based audio source separation toolkit for researchers. Inspired by the most successful neural source separation systems, it provides all…

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…

cs.SD2019

Demystifying TasNet: A Dissecting Approach

Jens Heitkaemper, Darius Jakobeit, Christoph Boeddeker +2

In recent years time domain speech separation has excelled over frequency domain separation in single channel scenarios and noise-free environments. In this paper we dissect the ga…

cs.SD201956 cited

SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition

Lukas Drude, Jens Heitkaemper, Christoph Boeddeker +1

We present a multi-channel database of overlapping speech for training, evaluation, and detailed analysis of source separation and extraction algorithms: SMS-WSJ -- Spatialized Mul…