Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1808.08573
Cited By
v1
v2 (latest)
Analyzing Learned Representations of a Deep ASR Performance Prediction Model
26 August 2018
Z. Elloumi
Laurent Besacier
Olivier Galibert
Benjamin Lecouteux
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Analyzing Learned Representations of a Deep ASR Performance Prediction Model"
8 / 8 papers shown
Title
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis
Shammur A. Chowdhury
Nadir Durrani
Ahmed M. Ali
118
16
0
01 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
93
81
0
02 Jan 2021
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
Richard Meyes
Moritz Schneider
Tobias Meisen
55
2
0
07 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
Richard Meyes
Constantin Waubert de Puiseau
Andres Felipe Posada-Moreno
Tobias Meisen
AI4CE
78
22
0
02 Apr 2020
Untangling in Invariant Speech Recognition
Cory Stephenson
J. Feather
Suchismita Padhy
Oguz H. Elibol
Hanlin Tang
Josh H. McDermott
SueYeon Chung
SSL
87
31
0
03 Mar 2020
Designing and Interpreting Probes with Control Tasks
John Hewitt
Percy Liang
113
538
0
08 Sep 2019
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition
Yonatan Belinkov
Ahmed M. Ali
James R. Glass
93
33
0
09 Jul 2019
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
James R. Glass
125
558
0
21 Dec 2018
1