56 citations · 121 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
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…
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR
Naoyuki Kanda, Christoph Boeddeker, Jens Heitkaemper +4
In this paper, we present Hitachi and Paderborn University's joint effort for automatic speech recognition (ASR) in a dinner party scenario. The main challenges of ASR systems for…