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Correction to Acoustics 2024, 6(2), 470-488.
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Correction

Correction: Coppieters de Gibson, L.; Garner, P.N. Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models. Acoustics 2024, 6, 470–488

by
Louise Coppieters de Gibson
1,2,* and
Philip N. Garner
1
1
Idiap Research Institute, 1920 Martigny, Switzerland
2
EPFL, Swiss Federal Institute of Technology in Lausanne, 1015 Lausanne, Switzerland
*
Author to whom correspondence should be addressed.
Acoustics 2024, 6(4), 885-886; https://doi.org/10.3390/acoustics6040049
Submission received: 9 September 2024 / Accepted: 12 September 2024 / Published: 12 October 2024
Browse Figures
Versions Notes
The authors would like to make the following corrections to the original publication [1].
In the original publication, there was a mistake in Figures 2 and 10 as published. Figure 2 has now been replaced with a figure from another article, and Figure 10 was replaced with the correct version. The corrected Figure 2 and Figure 10 appear below. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Coppieters de Gibson, L.; Garner, P.N. Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models. Acoustics 2024, 6, 470–488. [Google Scholar] [CrossRef]
Acoustics 06 00049 g002
Figure 2. A schematic overview of the original SincNet implementation model used as baseline in our previous work, the wav2vec2 fine-tuning path and the proposed fine-tuning path in this work. Based on compositionality capacity of networks, we combined the feature extractor of the original SincNet model with the pre-trained transformer of wav2vec2.
Figure 2. A schematic overview of the original SincNet implementation model used as baseline in our previous work, the wav2vec2 fine-tuning path and the proposed fine-tuning path in this work. Based on compositionality capacity of networks, we combined the feature extractor of the original SincNet model with the pre-trained transformer of wav2vec2.
Acoustics 06 00049 g002
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Figure 10. Filter distribution after training.
Figure 10. Filter distribution after training.
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MDPI and ACS Style

Coppieters de Gibson, L.; Garner, P.N. Correction: Coppieters de Gibson, L.; Garner, P.N. Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models. Acoustics 2024, 6, 470–488. Acoustics 2024, 6, 885-886. https://doi.org/10.3390/acoustics6040049

AMA Style

Coppieters de Gibson L, Garner PN. Correction: Coppieters de Gibson, L.; Garner, P.N. Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models. Acoustics 2024, 6, 470–488. Acoustics. 2024; 6(4):885-886. https://doi.org/10.3390/acoustics6040049

Chicago/Turabian Style

Coppieters de Gibson, Louise, and Philip N. Garner. 2024. "Correction: Coppieters de Gibson, L.; Garner, P.N. Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models. Acoustics 2024, 6, 470–488" Acoustics 6, no. 4: 885-886. https://doi.org/10.3390/acoustics6040049

APA Style

Coppieters de Gibson, L., & Garner, P. N. (2024). Correction: Coppieters de Gibson, L.; Garner, P.N. Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models. Acoustics 2024, 6, 470–488. Acoustics, 6(4), 885-886. https://doi.org/10.3390/acoustics6040049

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