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Recognizing More Emotions with Less Data Using Self-supervised Transfer
  Learning

Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning

11 November 2020
Jonathan Boigne
Biman Liyanage
Ted Östrem
ArXivPDFHTML

Papers citing "Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning"

2 / 2 papers shown
Title
The Unreliability of Acoustic Systems in Alzheimer's Speech Datasets
  with Heterogeneous Recording Conditions
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
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion
  recognition
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition
Li-Wei Chen
Alexander I. Rudnicky
VLM
27
121
0
12 Oct 2021
1