Unsupervised learning of auditory filter banks using non-negative matrix factorisation

By Alexander Bertrand, Kris Demuynck, Veronique Stouten, Hugo Van hamme. 2008

21 citations recorded by the source corpus.

Subfields: Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Signal Processing

1. Yoshua Bengio
2. Aaron C. Courville
3. Rithesh Kumar
4. Kundan Kumar
5. Gordon Wetzstein
6. Vincent Sitzmann
7. Hubert Siuzdak
8. Jan Skoglund

Citations in the corpus

• SampleRNN: An Unconditional End-to-End Neural Audio Generation Model (2016, methodology): “Chung et al. (2015) also attempt to model raw audio waveforms which is in contrast to traditional approaches which use spectral features as in Tokuda et al.”
• Implicit Neural Representations with Periodic Activation Functions (2020, methodology): “2 Representing Shapes with Signed Distance Functions Inspired by recent work on shape representation with differentiable signed distance functions (SDFs) [1, 4, 9], we fit SDFs directly on oriented point clouds using both ReLU-based implicit neural representations and SIRENs.”