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Analyzing Hidden Representations in End-to-End Automatic Speech
  Recognition Systems

Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems

13 September 2017
Yonatan Belinkov
James R. Glass
ArXivPDFHTML

Papers citing "Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems"

22 / 22 papers shown
Title
How do Multimodal Foundation Models Encode Text and Speech? An Analysis of Cross-Lingual and Cross-Modal Representations
How do Multimodal Foundation Models Encode Text and Speech? An Analysis of Cross-Lingual and Cross-Modal Representations
Hyunji Lee
Danni Liu
Supriti Sinhamahapatra
Jan Niehues
111
0
0
21 Feb 2025
Non-verbal information in spontaneous speech -- towards a new framework
  of analysis
Non-verbal information in spontaneous speech -- towards a new framework of analysis
Tirza Biron
Moshe Barboy
Eran Ben-Artzy
Alona Golubchik
Yanir Marmor
Smadar Szekely
Yaron Winter
David Harel
37
0
0
06 Mar 2024
Establishing degrees of closeness between audio recordings along
  different dimensions using large-scale cross-lingual models
Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models
Maxime Fily
Guillaume Wisniewski
Severine Guillaume
Gilles Adda
Alexis Michaud
22
1
0
08 Feb 2024
Implications of Annotation Artifacts in Edge Probing Test Datasets
Implications of Annotation Artifacts in Edge Probing Test Datasets
Sagnik Ray Choudhury
Jushaan Kalra
16
0
0
20 Oct 2023
Wave to Syntax: Probing spoken language models for syntax
Wave to Syntax: Probing spoken language models for syntax
G. Shen
A. Alishahi
Arianna Bisazza
Grzegorz Chrupała
35
10
0
30 May 2023
Interpreting intermediate convolutional layers in unsupervised acoustic
  word classification
Interpreting intermediate convolutional layers in unsupervised acoustic word classification
Gašper Beguš
Alan Zhou
FAtt
SSL
33
5
0
05 Oct 2021
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
44
12
0
01 Jul 2021
Syntactic Perturbations Reveal Representational Correlates of
  Hierarchical Phrase Structure in Pretrained Language Models
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
Matteo Alleman
J. Mamou
Miguel Rio
Hanlin Tang
Yoon Kim
SueYeon Chung
NAI
38
17
0
15 Apr 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
229
409
0
24 Feb 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
30
81
0
02 Jan 2021
Similarity Analysis of Self-Supervised Speech Representations
Similarity Analysis of Self-Supervised Speech Representations
Yu-An Chung
Yonatan Belinkov
James R. Glass
SSL
36
36
0
22 Oct 2020
Probing Neural Dialog Models for Conversational Understanding
Probing Neural Dialog Models for Conversational Understanding
Abdelrhman Saleh
Tovly Deutsch
Stephen Casper
Yonatan Belinkov
Stuart M. Shieber
21
13
0
07 Jun 2020
Untangling in Invariant Speech Recognition
Untangling in Invariant Speech Recognition
Cory Stephenson
J. Feather
Suchismita Padhy
Oguz H. Elibol
Hanlin Tang
Josh H. McDermott
SueYeon Chung
SSL
30
30
0
03 Mar 2020
Designing and Interpreting Probes with Control Tasks
Designing and Interpreting Probes with Control Tasks
John Hewitt
Percy Liang
32
524
0
08 Sep 2019
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb
  Constructions?
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
Miryam de Lhoneux
Sara Stymne
Joakim Nivre
12
3
0
18 Jul 2019
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic
  Speech Recognition
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition
Yonatan Belinkov
Ahmed M. Ali
James R. Glass
28
32
0
09 Jul 2019
BERTphone: Phonetically-Aware Encoder Representations for
  Utterance-Level Speaker and Language Recognition
BERTphone: Phonetically-Aware Encoder Representations for Utterance-Level Speaker and Language Recognition
Shaoshi Ling
Julian Salazar
Yuzong Liu
Katrin Kirchhoff
SSL
30
28
0
30 Jun 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
20
10
0
18 Dec 2018
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech
  Recognition
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition
Xinpei Zhou
Jiwei Li
Xi Zhou
27
3
0
29 Oct 2018
Frame-level speaker embeddings for text-independent speaker recognition
  and analysis of end-to-end model
Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model
Suwon Shon
Hao Tang
James R. Glass
18
88
0
12 Sep 2018
Hierarchical Multitask Learning for CTC-based Speech Recognition
Hierarchical Multitask Learning for CTC-based Speech Recognition
Kalpesh Krishna
Shubham Toshniwal
Karen Livescu
24
44
0
17 Jul 2018
AGI Safety Literature Review
AGI Safety Literature Review
Tom Everitt
G. Lea
Marcus Hutter
AI4CE
36
115
0
03 May 2018
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