LMAC-TD: Producing Time Domain Explanations for Audio Classifiers

LMAC-TD: Producing Time Domain Explanations for Audio Classifiers

13 September 2024

Eleonora Mancini

Francesco Paissan

Mirco Ravanelli

ArXiv (abs)PDF HTML

Papers citing "LMAC-TD: Producing Time Domain Explanations for Audio Classifiers"

15 / 15 papers shown

Title
Listenable Maps for Zero-Shot Audio Classifiers Francesco Paissan Luca Della Libera Mirco Ravanelli Cem Subakan 83 4 0 27 May 2024
A Model You Can Hear: Audio Identification with Playable Prototypes Romain Loiseau Baptiste Bouvier Yann Teytaut Elliot Vincent Mathieu Aubry Loic Landrieu 44 6 0 05 Aug 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF Jayneel Parekh Sanjeel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc G. Richard 52 25 0 23 Feb 2022
Attention is All You Need in Speech Separation Cem Subakan Mirco Ravanelli Samuele Cornell Mirko Bronzi Jianyuan Zhong 95 557 0 25 Oct 2020
Evaluating and Aggregating Feature-based Model Explanations Umang Bhatt Adrian Weller J. M. F. Moura XAI 90 224 0 01 May 2020
VGGSound: A Large-scale Audio-Visual Dataset Honglie Chen Weidi Xie Andrea Vedaldi Andrew Zisserman 89 577 0 29 Apr 2020
PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition Qiuqiang Kong Yin Cao Turab Iqbal Yuxuan Wang Wenwu Wang Mark D. Plumbley VLM SSL 189 1,076 0 21 Dec 2019
WHAM!: Extending Speech Separation to Noisy Environments Gordon Wichern J. Antognini Michael Flynn Licheng Richard Zhu E. McQuinn Dwight Crow Ethan Manilow Jonathan Le Roux 82 345 0 02 Jul 2019
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 112 2,300 0 30 Oct 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,939 0 22 May 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 5,989 0 04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 312 20,023 0 07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,672 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,295 0 20 Dec 2013