Mixture Encoder Supporting Continuous Speech Separation for Meeting Recognition

no code implementations • 15 Sep 2023 • Peter Vieting, Simon Berger, Thilo von Neumann, Christoph Boeddeker, Ralf Schlüter, Reinhold Haeb-Umbach

This mixture encoder leverages the original overlapped speech to mitigate the effect of artifacts introduced by the speech separation.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Comparative Analysis of the wav2vec 2.0 Feature Extractor

no code implementations • 8 Aug 2023 • Peter Vieting, Ralf Schlüter, Hermann Ney

In this work, we study its capability to replace the standard feature extraction methods in a connectionist temporal classification (CTC) ASR model and compare it to an alternative neural FE.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Mixture Encoder for Joint Speech Separation and Recognition

no code implementations • 21 Jun 2023 • Simon Berger, Peter Vieting, Christoph Boeddeker, Ralf Schlüter, Reinhold Haeb-Umbach

Modular approaches separate speakers and recognize each of them with a single-speaker ASR system.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Efficient Utilization of Large Pre-Trained Models for Low Resource ASR

no code implementations • 26 Oct 2022 • Peter Vieting, Christoph Lüscher, Julian Dierkes, Ralf Schlüter, Hermann Ney

Unsupervised representation learning has recently helped automatic speech recognition (ASR) to tackle tasks with limited labeled data.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech

no code implementations • 24 Oct 2022 • Christoph Lüscher, Mohammad Zeineldeen, Zijian Yang, Tina Raissi, Peter Vieting, Khai Le-Duc, Weiyue Wang, Ralf Schlüter, Hermann Ney

Language barriers present a great challenge in our increasingly connected and global world.

Translation

On Architectures and Training for Raw Waveform Feature Extraction in ASR

no code implementations • 9 Apr 2021 • Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney

With the success of neural network based modeling in automatic speech recognition (ASR), many studies investigated acoustic modeling and learning of feature extractors directly based on the raw waveform.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2