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Interpretable Representation Learning for Speech and Audio Signals Based
  on Relevance Weighting

Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting

29 October 2020
Purvi Agrawal
Sriram Ganapathy
ArXivPDFHTML

Papers citing "Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting"

5 / 5 papers shown
Title
Tailored Design of Audio-Visual Speech Recognition Models using Branchformers
Tailored Design of Audio-Visual Speech Recognition Models using Branchformers
David Gimeno-Gómez
Carlos David Martínez Hinarejos
91
2
0
09 Jul 2024
Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics
  Challenge 2021
Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021
Deepak Mittal
A. H. Poorjam
Debottam Dutta
Debarpan Bhattacharya
Zemin Yu
Sriram Ganapathy
M. Singh
16
0
0
11 Jun 2022
Towards Relatable Explainable AI with the Perceptual Process
Towards Relatable Explainable AI with the Perceptual Process
Wencan Zhang
Brian Y. Lim
AAML
XAI
25
62
0
28 Dec 2021
A study of the robustness of raw waveform based speaker embeddings under
  mismatched conditions
A study of the robustness of raw waveform based speaker embeddings under mismatched conditions
Ge Zhu
Frank Cwitkowitz
Z. Duan
22
2
0
08 Oct 2021
Voices Obscured in Complex Environmental Settings (VOICES) corpus
Voices Obscured in Complex Environmental Settings (VOICES) corpus
Colleen Richey
Maria Artigas
Zeb Armstrong
C. Bartels
H. Franco
...
Julien van Hout
Paul Gamble
Jeff Hetherly
Cory Stephenson
Karl S. Ni
39
126
0
13 Apr 2018
1