Speech emotion recognition using long-term average spectrum
Automatic speech emotion recognition has become an important research subject in the area of speech signal processing. The performance of classification algorithms depends on the features extracted from speech. In this work, a new framework for emotion recognition is proposed based on the long-term...
Saved in:
| Main Authors: | Huerta-Hernández Luis David, Meléndez-Acosta Nayeli Joaquinita, Troncoso-Romero David Ernesto, Ramírez-Pacheco Julio César, León-Borges Jose Antonio |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-04-01
|
| Series: | Open Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/comp-2025-0023 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of speech development in preschool children with autism spectrum disorders
by: Y.O. Korobina, et al.
Published: (2022-04-01) -
The Noor Project: fair transformer transfer learning for autism spectrum disorder recognition from speech
by: Najla D. Al Futaisi, et al.
Published: (2025-08-01) -
Speech Emotion Recognition: Humans vs Machines
by: S. Werner, et al.
Published: (2019-12-01) -
The long-term average spectrum in forensic phonetics: From collation to discrimination of speakers
by: Jordi Just Alcaraz
Published: (2023-07-01) -
The long-term average spectrum in forensic phonetics: From collation to discrimination of speakers
by: Jordi Just Alcaraz
Published: (2023-07-01)