Benchmarking Pretrained Models for Speech Emotion Recognition: A Focus on Xception

Benchmarking Pretrained Models for Speech Emotion Recognition: A Focus on Xception

Speech emotion recognition (SER) is an emerging technology that utilizes speech sounds to identify a speaker’s emotional state. Computational intelligence is receiving increasing attention from academics, health, and social media applications. This research was conducted to identify emotional states...

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Bibliographic Details
Main Authors: Ahmed Hassan, Tehreem Masood, Hassan A. Ahmed, H. M. Shahzad, Hafiz Muhammad Tayyab Khushi
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Computers
Subjects:
speech emotion recognition
transfer learning
MFCC
Mel spectrogram
Xception
Online Access:https://www.mdpi.com/2073-431X/13/12/315

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https://www.mdpi.com/2073-431X/13/12/315

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