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audioLIME: Listenable Explanations Using Source Separation
v1v2v3 (latest)

audioLIME: Listenable Explanations Using Source Separation

2 August 2020
Verena Haunschmid
Ethan Manilow
Gerhard Widmer
    FAtt
ArXiv (abs)PDFHTML

Papers citing "audioLIME: Listenable Explanations Using Source Separation"

12 / 12 papers shown
Title
Benchmarking Time-localized Explanations for Audio Classification Models
Cecilia Bolaños
L. Pepino
Martin Meza
Luciana Ferrer
34
0
0
04 Jun 2025
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift
Maja J. Hjuler
Line H. Clemmensen
Sneha Das
FAtt
129
1
0
07 Apr 2025
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
87
0
0
02 Oct 2024
MusicLIME: Explainable Multimodal Music Understanding
MusicLIME: Explainable Multimodal Music Understanding
Theodoros Sotirou
Vassilis Lyberatos
Orfeas Menis Mastromichalakis
Giorgos Stamou
72
3
0
16 Sep 2024
Listenable Maps for Zero-Shot Audio Classifiers
Listenable Maps for Zero-Shot Audio Classifiers
Francesco Paissan
Luca Della Libera
Mirco Ravanelli
Cem Subakan
105
4
0
27 May 2024
Listenable Maps for Audio Classifiers
Listenable Maps for Audio Classifiers
Francesco Paissan
Mirco Ravanelli
Cem Subakan
63
10
0
19 Mar 2024
Concept-Based Techniques for "Musicologist-friendly" Explanations in a
  Deep Music Classifier
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier
Francesco Foscarin
Katharina Hoedt
Verena Praher
A. Flexer
Gerhard Widmer
45
13
0
26 Aug 2022
On the Veracity of Local, Model-agnostic Explanations in Audio
  Classification: Targeted Investigations with Adversarial Examples
On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples
Verena Praher
Katharina Prinz
A. Flexer
Gerhard Widmer
AAMLFAtt
34
9
0
19 Jul 2021
Tracing Back Music Emotion Predictions to Sound Sources and Intuitive
  Perceptual Qualities
Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities
Shreyan Chowdhury
Verena Praher
Gerhard Widmer
54
15
0
14 Jun 2021
What all do audio transformer models hear? Probing Acoustic
  Representations for Language Delivery and its Structure
What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure
Jui Shah
Yaman Kumar Singla
Changyou Chen
R. Shah
93
81
0
02 Jan 2021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and
  Challenges
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TSAI4CE
114
405
0
19 Oct 2020
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio
  Analysis on a Simple Benchmark
AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark
Sören Becker
Johanna Vielhaben
M. Ackermann
Klaus-Robert Muller
Sebastian Lapuschkin
Wojciech Samek
XAI
115
100
0
09 Jul 2018
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