Search Results for author: Nils L. Westhausen

Found 7 papers, 3 papers with code

Binaural multichannel blind speaker separation with a causal low-latency and low-complexity approach

no code implementations8 Dec 2023 Nils L. Westhausen, Bernd T. Meyer

In this paper, we introduce a causal low-latency low-complexity approach for binaural multichannel blind speaker separation in noisy reverberant conditions.

Speaker Separation

Low bit rate binaural link for improved ultra low-latency low-complexity multichannel speech enhancement in Hearing Aids

no code implementations17 Jul 2023 Nils L. Westhausen, Bernd T. Meyer

The performance of an oracle binaural LCMV beamformer in non-low-latency configuration can be matched even by a unilateral configuration of the GCFSnet in terms of objective metrics.

Quantization Speech Enhancement

tPLCnet: Real-time Deep Packet Loss Concealment in the Time Domain Using a Short Temporal Context

1 code implementation4 Apr 2022 Nils L. Westhausen, Bernd T. Meyer

The model with the lowest complexity described in this paper reaches a robust PLC performance and consistent improvements over the zero-filling baseline for all metrics.

Packet Loss Concealment

Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators

no code implementations3 Nov 2021 Marko Stamenovic, Nils L. Westhausen, Li-Chia Yang, Carl Jensen, Alex Pawlicki

Using weight pruning, we show that we are able to compress an already compact model's memory footprint by a factor of 42x from 3. 7MB to 87kB while only losing 0. 1 dB SDR in performance.

Model Compression Speech Enhancement

Reduction of Subjective Listening Effort for TV Broadcast Signals with Recurrent Neural Networks

no code implementations2 Nov 2021 Nils L. Westhausen, Rainer Huber, Hannah Baumgartner, Ragini Sinha, Jan Rennies, Bernd T. Meyer

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 loud compared to the speech signal.

Audio Source Separation Speech Enhancement

Acoustic echo cancellation with the dual-signal transformation LSTM network

1 code implementation27 Oct 2020 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).

Acoustic echo cancellation Data Augmentation

Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression

2 code implementations Interspeech 2020 Nils L. Westhausen, Bernd T. Meyer

This paper introduces a dual-signal transformation LSTM network (DTLN) for real-time speech enhancement as part of the Deep Noise Suppression Challenge (DNS-Challenge).

Speech Enhancement Audio and Speech Processing Sound

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