| 1 |
Emotional Speech Recognition Using Deep Neural Networks
|
|
|
|
In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Emotional Speech Recognition Using Deep Neural Networks
|
|
|
|
In: Sensors; Volume 22; Issue 4; Pages: 1414 (2022)
|
|
Abstract:
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:
CNN; CRNN; data augmentation; emotion; GRU; IEMOCAP; recognition; speech
|
|
URL: https://doi.org/10.3390/s22041414
|
|
BASE
|
|
Hide details
|
|
|
| 3 |
Translate Wisely! An Evaluation of Close and Adaptive Translation Procedures in an Experiment Involving Questionnaire Translation
|
|
|
|
In: International journal of sociology ; 51 ; 2 ; 135-162 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Generating Samples of Diasporic Minority Populations: A Chilean Example
|
|
|
|
In: Targeting International Audiences: Current and Future Approaches to International Broadcasting Research ; 3 ; CIBAR Proceedings ; 138-149 ; Conference of International Broadcasters' Audience Research Services (CIBAR) ; XX (2022)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
The Optimism-Pessimism Short Scale-2 (SOP2): a comprehensive validation of the English-language adaptation
|
|
|
|
In: Measurement Instruments for the Social Sciences ; 4 ; 1-14 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Warum wir so wenig über die Sprachen in Deutschland wissen: Spracheinstellungen als Erkenntnisbarriere
|
|
|
|
In: Diskurs Kindheits- und Jugendforschung / Discourse. Journal of Childhood and Adolescence Research ; 16 ; 4 ; 403-419 ; Perspektiven von Kindern und Jugendlichen auf sprachliche Diversität und Sprachbildungsprozesse (2021)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Afterword: Future Directions in Multinational, Multiregional, and Multicultural (3MC) Survey Research
|
|
|
|
In: The essential role of language in survey research ; 243-256 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Mapping the linguistic landscapes of the Marshall Islands
|
|
|
|
In: Journal of Linguistic Geography ; 5 ; 2 ; 67-85 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Multi-mode question pretesting: Using traditional cognitive interviews and online testing as complementary methods
|
|
|
|
In: Survey Methods: Insights from the Field ; 1-14 ; Advancements in Online and Mobile Survey Methods (2021)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Discourse Networks and Dual Screening: Analyzing Roles, Content and Motivations in Political Twitter Conversations
|
|
|
|
In: Politics and Governance ; 8 ; 2 ; 311-325 ; Policy Debates and Discourse Network Analysis (2021)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
|
|
|
|
In: Politics and Governance ; 8 ; 2 ; 326-339 ; Policy Debates and Discourse Network Analysis (2021)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
B-SFT: Beobachtungssystem zur Erfassung von Sprachfördertechniken im Kita- und Grundschulalltag
|
|
|
|
In: Mackowiak, Katja [Hrsg.]; Beckerle, Christine [Hrsg.]; Gentrup, Sarah [Hrsg.]; Titz, Cora [Hrsg.]: Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung. Bad Heilbrunn : Verlag Julius Klinkhardt 2020, S. 79-101 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Einleitung: Instrumente zur Erfassung institutioneller (schrift-)sprachlicher Bildung
|
|
|
|
In: Mackowiak, Katja [Hrsg.]; Beckerle, Christine [Hrsg.]; Gentrup, Sarah [Hrsg.]; Titz, Cora [Hrsg.]: Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung. Bad Heilbrunn : Verlag Julius Klinkhardt 2020, S. 7-12 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Forschungsinstrumente im Kontext institutioneller (schrift-)sprachlicher Bildung
|
|
|
|
In: Bad Heilbrunn : Verlag Julius Klinkhardt 2020, 159 S. (2020)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows
|
|
Kucherenko, Taras; Henter, Gustav Eje; Beskow, Jonas. - : KTH, Tal, musik och hörsel, TMH, 2020. : KTH, Robotik, perception och lärande, RPL, 2020. : Wiley, 2020
|
|
BASE
|
|
Show details
|
|
|
| 16 |
The Quality of Big Data: Development, Problems, and Possibilities of Use of Process-Generated Data in the Digital Age
|
|
|
|
In: Historical Social Research ; 45 ; 3 ; 209-243 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Sprachlich-kulturelle Herausforderungen bei der qualitativen Inhaltsanalyse musikbiografischer Interviews mit chinesischen und schweizerischen Musikstudierenden
|
|
|
|
In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 20 ; 3 ; 12 ; Qualitative Content Analysis I (2019)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Building a Sampling Frame for Migrant Populations via an Onomastic Approach: Lesson learned from the Austrian Immigrant Survey 2016
|
|
|
|
In: Survey Methods: Insights from the Field ; 1-20 ; Probability and Nonprobability Sampling: Sampling of hard-to-reach survey populations (2019)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Evaluating cross-linguistic forced alignment of conversational data in north Australian Kriol, an under-resourced language
|
|
|
|
BASE
|
|
Show details
|
|
|
| 20 |
An Empirical Study on Bidirectional Recurrent Neural Networks for Human Motion Recognition
|
|
Tanisaro, Pattreeya; Heidemann, Gunther. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018. : LIPIcs - Leibniz International Proceedings in Informatics. 25th International Symposium on Temporal Representation and Reasoning (TIME 2018), 2018
|
|
BASE
|
|
Show details
|
|
|
|
|
