Transformer-Based Multilingual Speech Emotion Recognition Using Data Augmentation and Feature Fusion
In recent years data science has been applied in a variety of real-life applications such as human-computer interaction applications, computer gaming, mobile services, and emotion evaluation. Among the wide range of applications, speech emotion recognition (SER) is also an emerging and challenging r...
Main Authors: | Badriyya B. Al-onazi, Muhammad Asif Nauman, Rashid Jahangir, Muhmmad Mohsin Malik, Eman H. Alkhammash, Ahmed M. Elshewey |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/18/9188 |
Similar Items
-
Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages
by: Ephrem Afele Retta, et al.
Published: (2023-11-01) -
Individual differences in human voice pitch are preserved from speech to screams, roars and pain cries
by: Katarzyna Pisanski, et al.
Published: (2020-02-01) -
A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech
by: Cem Doğdu, et al.
Published: (2022-10-01) -
Preprocessing signal for Speech Emotion Recognition
by: Bashar M. Nema, et al.
Published: (2018-07-01) -
Translanguaging as a Strategy for Supporting Multilingual Learners’ Social Emotional Learning
by: Juyoung Song, et al.
Published: (2022-07-01)