Home
Catalogue search
Refine your search:
Keyword
Creator / Publisher:
NAVAL POSTGRADUATE SCHOOL MONTEREY CA (2)
ROSARIO, RYAN ROBERT (2)
A Min Tjoa (1)
ANR-10-IDEX-0001,PSL,Paris Sciences et Lettres(2010) (1)
ANR-17-EURE-0017,FrontCog,Frontières en cognition(2017) (1)
ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019) (1)
Alexey Karpov (1)
Anand, A. (1)
Anand, Avishek (1)
Andreas Holzinger (1)
more
Year:
2022 (5)
2021 (8)
2020 (7)
2018 (2)
2017 (2)
2016 (1)
2012 (1)
2007 (1)
1994 (1)
1986 (1)
more
Medium:
Online (29)
Print (1)
Type
BLLDB-Access:
free (30)
subject to license (0)
Search in the Catalogues and Directories
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
Sort by
creator [A → Z]
'
creator [Z → A]
'
publishing year ↑ (asc)
'
publishing year ↓ (desc)
'
title [A → Z]
'
title [Z → A]
'
Simple Search
Page:
1
2
Hits 1 – 20 of 30
1
Emotional Speech Recognition Using Deep Neural Networks
Trinh Van, Loan
;
Dao Thi Le, Thuy
;
Le Xuan, Thanh
;
Castelli, Eric
In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
Abstract:
International audience ; The expression of emotions in human communication plays a very important role in the information that needs to be conveyed to the partner. The forms of expression of human emotions are very rich. It could be body language, facial expressions, eye contact, laughter, and tone of voice. The languages of the world’s peoples are different, but even without understanding a language in communication, people can almost understand part of the message that the other partner wants to convey with emotional expressions as mentioned. Among the forms of human emotional expression, the expression of emotions through voice is perhaps the most studied. This article presents our research on speech emotion recognition using deep neural networks such as CNN, CRNN, and GRU. We used the Interactive Emotional Dyadic Motion Capture (IEMOCAP) corpus for the study with four emotions: anger, happiness, sadness, and neutrality. The feature parameters used for recognition include the Mel spectral coefficients and other parameters related to the spectrum and the intensity of the speech signal. The data augmentation was used by changing the voice and adding white noise. The results show that the GRU model gave the highest average recognition accuracy of 97.47%. This result is superior to existing studies on speech emotion recognition with the IEMOCAP corpus.
Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
;
CNN
;
CRNN
;
data augmentation
;
emotion
;
GRU
;
IEMOCAP
;
recognition
;
speech
URL:
https://hal.archives-ouvertes.fr/hal-03632853/document
https://hal.archives-ouvertes.fr/hal-03632853
https://doi.org/10.3390/s22041414
https://hal.archives-ouvertes.fr/hal-03632853/file/sensors-22-01414-v2.pdf
BASE
Hide details
2
Prosodic Feature-Based Discriminatively Trained Low Resource Speech Recognition System
Taniya Hasija; Virender Kadyan; Kalpna Guleria; Abdullah Alharbi; Hashem Alyami; Nitin Goyal
In: Sustainability; Volume 14; Issue 2; Pages: 614 (2022)
BASE
Show details
3
Text Data Augmentation for the Korean Language
Dang Thanh Vu; Gwanghyun Yu; Chilwoo Lee; Jinyoung Kim
In: Applied Sciences; Volume 12; Issue 7; Pages: 3425 (2022)
BASE
Show details
4
Emotional Speech Recognition Using Deep Neural Networks
Loan Trinh Van; Thuy Dao Thi Le; Thanh Le Xuan; Eric Castelli
In: Sensors; Volume 22; Issue 4; Pages: 1414 (2022)
BASE
Show details
5
A Study of Data Augmentation for ASR Robustness in Low Bit Rate Contact Center Recordings Including Packet Losses
María Pilar Fernández-Gallego; Doroteo T. Toledano
In: Applied Sciences; Volume 12; Issue 3; Pages: 1580 (2022)
BASE
Show details
6
Modeling the effect of military oxygen masks on speech characteristics
Elie, Benjamin
;
Gauvain, Jodie
;
Gauvain, Jean-Luc
...
In: Interspeech 2021 ; https://hal.archives-ouvertes.fr/hal-03325087 ; Interspeech 2021, Aug 2021, Brno, Czech Republic (2021)
BASE
Show details
7
Simulating reading mistakes for child speech Transformer-based phone recognition
Gelin, Lucile
;
Pellegrini, Thomas
;
Pinquier, Julien
...
In: Annual Conference of the International Speech Communication Association (INTERSPEECH) ; https://hal.archives-ouvertes.fr/hal-03257870 ; Annual Conference of the International Speech Communication Association (INTERSPEECH), Aug 2021, Brno, Czech Republic (2021)
BASE
Show details
8
A Data Augmentation Approach for Sign-Language-To-Text Translation In-The-Wild ...
Nunnari, Fabrizio
;
España-Bonet, Cristina
;
Avramidis, Eleftherios
. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021
BASE
Show details
9
Effekten av textaugmenteringsstrategier på träffsäkerhet, F1-värde och viktat F1-värde ; The effect of text data augmentation strategies on Accuracy, F1-score, and weighted F1-score
Shmas, George
;
Svedberg, Jonatan
. - : KTH, Hälsoinformatik och logistik, 2021
BASE
Show details
10
Using Data Augmentation and Time-Scale Modification to Improve ASR of Children’s Speech in Noisy Environments
Hemant Kumar Kathania
;
Sudarsana Reddy Kadiri
;
Paavo Alku
...
In: Applied Sciences ; Volume 11 ; Issue 18 (2021)
BASE
Show details
11
Generating Synthetic Disguised Faces with Cycle-Consistency Loss and an Automated Filtering Algorithm
Mobeen Ahmad; Usman Cheema; Muhammad Abdullah; Seungbin Moon; Dongil Han
In: Mathematics; Volume 10; Issue 1; Pages: 4 (2021)
BASE
Show details
12
Volumetric changes at implant sites: A systematic appraisal of traditional methods and optical scanning- based digital technologies
Tavelli, Lorenzo
;
Barootchi, Shayan
;
Majzoub, Jad
. - : Wiley Periodicals, Inc., 2021
BASE
Show details
13
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
Sánchez-Cartagena, Víctor M.
;
Sánchez-Martínez, Felipe
;
Pérez-Ortiz, Juan Antonio
. - : Association for Computational Linguistics, 2021
BASE
Show details
14
Improving Short Text Classification Through Global Augmentation Methods
Marivate, Vukosi
;
Sefara, Tshephisho
In: Lecture Notes in Computer Science ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-03414750 ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.385-399, ⟨10.1007/978-3-030-57321-8_21⟩ (2020)
BASE
Show details
15
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Kharitonov, Eugene
;
Rivière, Morgane
;
Synnaeve, Gabriel
...
In: SLT 2020 - IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03070321 ; SLT 2020 - IEEE Spoken Language Technology Workshop, Dec 2020, Shenzhen / Virtual, China (2020)
BASE
Show details
16
Characterization and classification of semantic image-text relations ...
Otto, Christian
;
Springstein, Matthias
;
Anand, Avishek
. - : London : Springer, 2020
BASE
Show details
17
Characterization and classification of semantic image-text relations ...
Otto, C.
;
Springstein, M.
;
Anand, A.
. - : Berlin : Springer Nature, 2020
BASE
Show details
18
Using Complexity-Identical Human- and Machine-Directed Utterances to Investigate Addressee Detection for Spoken Dialogue Systems
Oleg Akhtiamov
;
Ingo Siegert
;
Alexey Karpov
...
In: Sensors ; Volume 20 ; Issue 9 (2020)
BASE
Show details
19
NAT: Noise-Aware Training for Robust Neural Sequence Labeling
Behnke, Sven
;
Namysl, Marcin
;
Köhler, Joachim
In: Fraunhofer IAIS (2020)
BASE
Show details
20
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity
Hu, Hai
;
Chen, Qi
;
Richardson, Kyle
...
In: Proceedings of the Society for Computation in Linguistics (2020)
BASE
Show details
Page:
1
2
Mobile view
All
Catalogues
UB Frankfurt Linguistik
0
IDS Mannheim
0
OLC Linguistik
0
UB Frankfurt Retrokatalog
0
DNB Subject Category Language
0
Institut für Empirische Sprachwissenschaft
0
Leibniz-Centre General Linguistics (ZAS)
0
Bibliographies
BLLDB
1
BDSL
0
IDS Bibliografie zur deutschen Grammatik
0
IDS Bibliografie zur Gesprächsforschung
0
IDS Konnektoren im Deutschen
0
IDS Präpositionen im Deutschen
0
IDS OBELEX meta
0
MPI-SHH Linguistics Collection
0
MPI for Psycholinguistics
0
Linked Open Data catalogues
Annohub
0
Online resources
Link directory
0
Journal directory
0
Database directory
0
Dictionary directory
0
Open access documents
BASE
29
Linguistik-Repository
0
IDS Publikationsserver
0
Online dissertations
0
Language Description Heritage
0
© 2013 - 2024 Lin|gu|is|tik
|
Imprint
|
Privacy Policy
|
Datenschutzeinstellungen ändern