Exploring Wav2vec 2.0 fine-tuning for improved speech emotion
recognition

Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition

12 October 2021

Li-Wei Chen

Alexander I. Rudnicky

Papers citing "Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition"

5 / 55 papers shown

Title
Exploring the Effectiveness of Self-supervised Learning and Classifier Chains in Emotion Recognition of Nonverbal Vocalizations Detai Xin Shinnosuke Takamichi Hiroshi Saruwatari 22 14 0 21 Jun 2022
Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment Mu Yang K. Hirschi S. Looney Okim Kang John H. L. Hansen 20 15 0 29 Mar 2022
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis Huisheng Mao Ziqi Yuan Hua Xu Wenmeng Yu Yihe Liu Kai Gao 17 41 0 23 Mar 2022
Dawn of the transformer era in speech emotion recognition: closing the valence gap Johannes Wagner Andreas Triantafyllopoulos H. Wierstorf Maximilian Schmitt Felix Burkhardt F. Eyben Björn W. Schuller 13 281 0 14 Mar 2022
Exploring wav2vec 2.0 on speaker verification and language identification Zhiyun Fan Meng Li Shiyu Zhou Bo Xu 103 202 0 11 Dec 2020