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What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure
2 January 2021
Jui Shah
Yaman Kumar Singla
Changyou Chen
R. Shah
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Papers citing
"What all do audio transformer models hear? Probing Acoustic Representations for Language Delivery and its Structure"
16 / 16 papers shown
Title
Enhancing and Exploring Mild Cognitive Impairment Detection with W2V-BERT-2.0
Yueguan Wang
Tatsunari Matsushima
Soichiro Matsushima
Toshimitsu Sakai
31
0
0
28 Jan 2025
Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers
Hosein Mohebbi
Grzegorz Chrupała
Willem H. Zuidema
A. Alishahi
28
12
0
15 Oct 2023
Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition
Weidong Chen
Xiaofen Xing
Peihao Chen
Xiangmin Xu
VLM
28
35
0
20 Jul 2023
Investigating Pre-trained Audio Encoders in the Low-Resource Condition
Haomiao Yang
Jinming Zhao
Gholamreza Haffari
Ehsan Shareghi
14
6
0
28 May 2023
SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing
Weidong Chen
Xiaofen Xing
Xiangmin Xu
Jianxin Pang
Lan Du
30
38
0
27 Feb 2023
Phone and speaker spatial organization in self-supervised speech representations
Pablo Riera
M. Cerdeiro
L. Pepino
Luciana Ferrer
SSL
16
1
0
24 Feb 2023
Comparative layer-wise analysis of self-supervised speech models
Ankita Pasad
Bowen Shi
Karen Livescu
SSL
22
109
0
08 Nov 2022
Probing Statistical Representations For End-To-End ASR
A. Ollerenshaw
Md. Asif Jalal
Thomas Hain
19
2
0
03 Nov 2022
On the Utility of Self-supervised Models for Prosody-related Tasks
Guan-Ting Lin
Chiyu Feng
Wei-Ping Huang
Yuan Tseng
Tzu-Han Lin
Chen An Li
Hung-yi Lee
Nigel G. Ward
21
47
0
13 Oct 2022
Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning
Eesung Kim
J. Jeon
Hyeji Seo
Ho-Young Kim
SSL
21
37
0
08 Apr 2022
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
Yaman Kumar Singla
Sriram Krishna
R. Shah
Changyou Chen
18
6
0
17 Nov 2021
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi
Juheon Lee
W. Kim
Jie Hwan Lee
Hoon Heo
Kyogu Lee
12
150
0
27 Oct 2021
AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses
Yaman Kumar Singla
Swapnil Parekh
Somesh Singh
J. Li
R. Shah
Changyou Chen
AAML
25
13
0
24 Sep 2021
Layer-wise Analysis of a Self-supervised Speech Representation Model
Ankita Pasad
Ju-Chieh Chou
Karen Livescu
SSL
26
287
0
10 Jul 2021
Probing the Information Encoded in X-vectors
Desh Raj
David Snyder
Daniel Povey
Sanjeev Khudanpur
32
84
0
13 Sep 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
199
882
0
03 May 2018
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