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Analyzing Learned Representations of a Deep ASR Performance Prediction
  Model
v1v2 (latest)

Analyzing Learned Representations of a Deep ASR Performance Prediction Model

26 August 2018
Z. Elloumi
Laurent Besacier
Olivier Galibert
Benjamin Lecouteux
ArXiv (abs)PDFHTML

Papers citing "Analyzing Learned Representations of a Deep ASR Performance Prediction Model"

8 / 8 papers shown
What do End-to-End Speech Models Learn about Speaker, Language and
  Channel Information? A Layer-wise and Neuron-level Analysis
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
372
21
0
01 Jul 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
376
89
0
02 Jan 2021
How Do You Act? An Empirical Study to Understand Behavior of Deep
  Reinforcement Learning Agents
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
Richard Meyes
Moritz Schneider
Tobias Meisen
124
2
0
07 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned
  Representations by Functional Neuron Populations and Network Ablations
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
155
22
0
02 Apr 2020
Untangling in Invariant Speech Recognition
Untangling in Invariant Speech RecognitionNeural Information Processing Systems (NeurIPS), 2020
Cory Stephenson
J. Feather
Suchismita Padhy
Oguz H. Elibol
Hanlin Tang
Josh H. McDermott
SueYeon Chung
SSL
228
34
0
03 Mar 2020
Designing and Interpreting Probes with Control Tasks
Designing and Interpreting Probes with Control TasksConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
John Hewitt
Abigail Z. Jacobs
465
593
0
08 Sep 2019
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic
  Speech Recognition
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech RecognitionInterspeech (Interspeech), 2019
Yonatan Belinkov
Ahmed M. Ali
James R. Glass
229
41
0
09 Jul 2019
Analysis Methods in Neural Language Processing: A Survey
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
James R. Glass
283
597
0
21 Dec 2018
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