105 citations · 160 across the 9 of their papers we have counts for
10 papers
Personalized Predictive ASR for Latency Reduction in Voice Assistants
Andreas Schwarz, Di He, Maarten Van Segbroeck +2
Streaming Automatic Speech Recognition (ASR) in voice assistants can utilize prefetching to partially hide the latency of response generation. Prefetching involves passing a prelim…
Contextual-Utterance Training for Automatic Speech Recognition
Alejandro Gomez-Alanis, Lukas Drude, Andreas Schwarz +2
Recent studies of streaming automatic speech recognition (ASR) recurrent neural network transducer (RNN-T)-based systems have fed the encoder with past contextual information in or…
Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget
Lukas Drude, Jahn Heymann, Andreas Schwarz +1
Automatic speech recognition (ASR) in the cloud allows the use of larger models and more powerful multi-channel signal processing front-ends compared to on-device processing. Howev…
Improving RNN-T ASR Accuracy Using Context Audio
Andreas Schwarz, Ilya Sklyar, Simon Wiesler
We present a training scheme for streaming automatic speech recognition (ASR) based on recurrent neural network transducers (RNN-T) which allows the encoder network to learn to exp…
Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments
Hendrik Barfuss, Christian Huemmer, Andreas Schwarz +1
Speech recognition in adverse real-world environments is highly affected by reverberation and nonstationary background noise. A well-known strategy to reduce such undesired signal…
Robust coherence-based spectral enhancement for distant speech recognition
Hendrik Barfuss, Christian Huemmer, Andreas Schwarz +1
In this contribution to the 3rd CHiME Speech Separation and Recognition Challenge (CHiME-3) we extend the acoustic front-end of the CHiME-3 baseline speech recognition system by a…