On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition

18 November 2020

Papers citing "On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition"

7 / 7 papers shown

Title
The Unreliability of Acoustic Systems in Alzheimer's Speech Datasets with Heterogeneous Recording Conditions L. Gauder Pablo Riera A. Slachevsky G. Forno Adolfo M. Garcia Luciana Ferrer 38 1 0 11 Sep 2024
A Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition Orchid Chetia Phukan Arun Balaji Buduru Rajesh Sharma 28 6 0 22 Apr 2023
A vector quantized masked autoencoder for speech emotion recognition Samir Sadok Simon Leglaive Renaud Séguier 40 20 0 21 Apr 2023
Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts Atijit Anuchitanukul Lucia Specia VLM 30 6 0 24 Jun 2022
Transformer-Based Self-Supervised Learning for Emotion Recognition Juan Vazquez-Rodriguez G. Lefebvre Julien Cumin James L. Crowley 23 25 0 08 Apr 2022
Learning Speech Emotion Representations in the Quaternion Domain E. Guizzo Tillman Weyde Simone Scardapane Danilo Comminiello 32 18 0 05 Apr 2022
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities Hsiang-Sheng Tsai Heng-Jui Chang Wen-Chin Huang Zili Huang Kushal Lakhotia ... Hsuan-Jui Chen Shang-Wen Li Shinji Watanabe Abdel-rahman Mohamed Hung-yi Lee 26 109 0 14 Mar 2022