40 citations · 107 across the 10 of their papers we have counts for
11 papers
Low bit rate binaural link for improved ultra low-latency low-complexity multichannel speech enhancement in Hearing Aids
Nils L. Westhausen, Bernd T. Meyer
Speech enhancement in hearing aids is a challenging task since the hardware limits the number of possible operations and the latency needs to be in the range of only a few millisec…
Multilingual Query-by-Example Keyword Spotting with Metric Learning and Phoneme-to-Embedding Mapping
Paul M. Reuter, Christian Rollwage, Bernd T. Meyer
In this paper, we propose a multilingual query-by-example keyword spotting (KWS) system based on a residual neural network. The model is trained as a classifier on a multilingual k…
tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context
Nils L. Westhausen, Bernd T. Meyer
This paper introduces a real-time time-domain packet loss concealment (PLC) neural-network (tPLCnet). It efficiently predicts lost frames from a short context buffer in a sequence-…
Prediction of speech intelligibility with DNN-based performance measures
Angel Mario Castro Martinez, Constantin Spille, Jana Roßbach +2
This paper presents a speech intelligibility model based on automatic speech recognition (ASR), combining phoneme probabilities from deep neural networks (DNN) and a performance me…
Reduction of Subjective Listening Effort for TV Broadcast Signals with Recurrent Neural Networks
Nils L. Westhausen, Rainer Huber, Hannah Baumgartner +3
Listening to the audio of TV broadcast signals can be challenging for hearing-impaired as well as normal-hearing listeners, especially when background sounds are prominent or too l…
Acoustic echo cancellation with the dual-signal transformation LSTM network
Nils L. Westhausen, Bernd T. Meyer
This paper applies the dual-signal transformation LSTM network (DTLN) to the task of real-time acoustic echo cancellation (AEC). The DTLN combines a short-time Fourier transformati…