Bio
I am a Postdoctoral Researcher at International Audio Laboratories Erlangen.
Research Interests
My research interests are audio signal processing and its intersection with lapped transforms, compressive sensing, and machine learning.
Publications
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Nils Werner, Bernd Edler, and Sascha Disch
Perceptual audio coding with adaptive non-uniform time/frequency tiling using subband merging and the time domain aliasing reduction
Patent, WO2020083727A1, issued 30. April 2020. -
Nils Werner and Bernd Edler
Time-Varying Time-Frequency Tilings Using Non-Uniform Orthogonal Filterbanks Based on MDCT Analysis/Synthesis and Time Domain Aliasing Reduction
IEEE Signal Processing Letters 26, Nr. 12 (Dezember 2019): 1783–87. -
Nils Werner and Bernd Edler
Time-Varying Time-Frequency Tilings Using Non-Uniform Orthogonal Filterbanks Based on MDCT Analysis/Synthesis and TDAR
Patent Application, European Union, filed 28. August 2019. -
Nils Werner and Bernd Edler
Perceptual Audio Coding with Adaptive Non-Uniform Time/Frequency Tilings using Subband Merging and Time Domain Aliasing Reduction
In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, 2019. -
Nils Werner and Bernd Edler
Experimenting with Lapped Transforms in Numerical Computation Libraries using Polyphase Matrices and Strided Memory Views
In Audio Engineering Society Convention 146, 2019. -
Nils Werner and Bernd Edler
Computational Complexity of a Cascaded Nonuniform Orthogonal Lapped Filterbank Based on MDCT and Time Domain Aliasing Reduction
In Audio Engineering Society Convention 146, 2019. -
Nils Werner und Bernd Edler
Time domain aliasing reduction for non-uniform filterbanks which use spectral analysis followed by partial synthesis
Patent, WO2018019909A1, issued 1. Februar 2018. -
Nils Werner, Stefan Balke, Fabian-Rober Stöter, Meinard Müller, and Bernd Edler
trackswitch.js: A Versatile Web-Based Audio Player for Presenting Scientifc Results
In 3rd web audio conference, London, UK, 2017. -
Nils Werner and Bernd Edler
Nonuniform Orthogonal Filterbanks Based on MDCT Analysis/Synthesis and Time-Domain Aliasing Reduction
IEEE Signal Processing Letters, 24(5): 589–593, 2017. -
Fabian-Robert Stöter, Nils Werner, Stefan Bayer, and Bernd Edler
Refining fundamental frequency estimates using time warping
In 2015 23rd European Signal Processing Conference (EUSIPCO): 6–10, 2015.
Software
- Lapped Transforms Jupyter Notebook
- Filename based peer to peer file transfer
- Short Time Fourier Transform (STFT) in NumPy
- Modulated Discrete Cosine Transform (MDCT) in NumPy
- Contributed to pydata/sparse
- Contributed to NumPy
- Contributed to SciPy
- Contributed to IPython
- Contributed to scikit-tensor