Search Results for author: Jens Heitkaemper

Found 3 papers, 2 papers with code

Demystifying TasNet: A Dissecting Approach

no code implementations • 20 Nov 2019 • Jens Heitkaemper, Darius Jakobeit, Christoph Boeddeker, Lukas Drude, Reinhold Haeb-Umbach

In recent years time domain speech separation has excelled over frequency domain separation in single channel scenarios and noise-free environments.

Speech Separation

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

3 code implementations • 30 Oct 2019 • Lukas Drude, Jens Heitkaemper, Christoph Boeddeker, Reinhold Haeb-Umbach

We present a multi-channel database of overlapping speech for training, evaluation, and detailed analysis of source separation and extraction algorithms: SMS-WSJ -- Spatialized Multi-Speaker Wall Street Journal.

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Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

1 code implementation • 29 May 2019 • Naoyuki Kanda, Christoph Boeddeker, Jens Heitkaemper, Yusuke Fujita, Shota Horiguchi, Kenji Nagamatsu, Reinhold Haeb-Umbach

In this paper, we present Hitachi and Paderborn University's joint effort for automatic speech recognition (ASR) in a dinner party scenario.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

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