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Listenable Maps for Audio Classifiers
v1v2v3 (latest)

Listenable Maps for Audio Classifiers

19 March 2024
Francesco Paissan
Mirco Ravanelli
Cem Subakan
ArXiv (abs)PDFHTMLGithub

Papers citing "Listenable Maps for Audio Classifiers"

12 / 12 papers shown
Sparse Autoencoders Make Audio Foundation Models more Explainable
Sparse Autoencoders Make Audio Foundation Models more Explainable
Théo Mariotte
Martin Lebourdais
Antonio Almudévar
Marie Tahon
Alfonso Ortega
Nicolas Dugué
160
1
0
29 Sep 2025
From Black Box to Biomarker: Sparse Autoencoders for Interpreting Speech Models of Parkinson's Disease
From Black Box to Biomarker: Sparse Autoencoders for Interpreting Speech Models of Parkinson's Disease
Peter William VanHarn Plantinga
Jen-Kai Chen
Roozbeh Sattari
M. R
Denise Klein
199
3
0
16 Jul 2025
Benchmarking Time-localized Explanations for Audio Classification Models
Benchmarking Time-localized Explanations for Audio Classification Models
Cecilia Bolaños
L. Pepino
Martin Meza
Luciana Ferrer
335
2
0
04 Jun 2025
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations
Petr Grinberg
Ankur Kumar
Surya Koppisetti
Gaurav Bharaj
DiffM
263
0
0
03 Jun 2025
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms
Manuel Barusco
Francesco Borsatti
Davide Dalle Pezze
Francesco Paissan
Elisabetta Farella
Gian Antonio Susto
417
1
0
25 Feb 2025
Investigating the Effectiveness of Explainability Methods in Parkinson's
  Detection from Speech
Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech
Eleonora Mancini
Francesco Paissan
Paolo Torroni
Mirco Ravanelli
Cem Subakan
362
8
0
12 Nov 2024
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi
Amandine Brunetto
Thomas Fel
Jayneel Parekh
AAMLFAtt
480
0
0
02 Oct 2024
LMAC-TD: Producing Time Domain Explanations for Audio Classifiers
LMAC-TD: Producing Time Domain Explanations for Audio ClassifiersIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Eleonora Mancini
Francesco Paissan
Mirco Ravanelli
Cem Subakan
184
3
0
13 Sep 2024
Open-Source Conversational AI with SpeechBrain 1.0
Open-Source Conversational AI with SpeechBrain 1.0
Mirco Ravanelli
Titouan Parcollet
Adel Moumen
Sylvain de Langen
Cem Subakan
...
Salima Mdhaffar
G. Laperriere
Mickael Rouvier
Renato De Mori
Yannick Esteve
VLM
520
79
0
29 Jun 2024
Listenable Maps for Zero-Shot Audio Classifiers
Listenable Maps for Zero-Shot Audio Classifiers
Francesco Paissan
Luca Della Libera
Mirco Ravanelli
Cem Subakan
317
5
0
27 May 2024
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
5.2K
32,979
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.7K
21,148
0
16 Feb 2016
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