audioLIME: Listenable Explanations Using Source Separation

audioLIME: Listenable Explanations Using Source Separation

2 August 2020

Verena Haunschmid

Papers citing "audioLIME: Listenable Explanations Using Source Separation"

9 / 9 papers shown

Title
Transformation of audio embeddings into interpretable, concept-based representations Alice Zhang Edison Thomaz Lie Lu 34 0 0 18 Apr 2025
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift Maja J. Hjuler Line H. Clemmensen Sneha Das FAtt 57 1 0 07 Apr 2025
MusicLIME: Explainable Multimodal Music Understanding Theodoros Sotirou Vassilis Lyberatos Orfeas Menis Mastromichalakis Giorgos Stamou 34 2 0 16 Sep 2024
Listenable Maps for Zero-Shot Audio Classifiers Francesco Paissan Luca Della Libera Mirco Ravanelli Cem Subakan 40 4 0 27 May 2024
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier Francesco Foscarin Katharina Hoedt Verena Praher A. Flexer Gerhard Widmer 26 11 0 26 Aug 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF Jayneel Parekh Sanjeel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc G. Richard 24 22 0 23 Feb 2022
On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples Verena Praher Katharina Prinz A. Flexer Gerhard Widmer AAML FAtt 24 9 0 19 Jul 2021
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 36 81 0 02 Jan 2021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 28 396 0 19 Oct 2020