Analyzing Learned Representations of a Deep ASR Performance Prediction
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Analyzing Learned Representations of a Deep ASR Performance Prediction Model

26 August 2018

Laurent Besacier

Olivier Galibert

Benjamin Lecouteux

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

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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