SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing

Author:

Chen Weidong1ORCID,Xing Xiaofen1ORCID,Xu Xiangmin2ORCID,Pang Jianxin3ORCID,Du Lan4

Affiliation:

1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China

2. School of Future Technology, South China University of Technology, Guangzhou, China

3. UBTECH Research, UBTECH Robotics Corporation, Shenzhen, China

4. iFLYTEK Research, iFLYTEK Corporation, Hefei, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Guangzhou Municipal Science and Technology Project

Science and Technology Project of Guangdong

Natural Science Foundation of Guangdong Province

Guangdong Provincial Key Laboratory of Human Digital Twin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Reference82 articles.

1. The Boston diagnostic aphasia examination;goodg lass;Lea & Febinger,1983

2. The Natural History of Alzheimer's Disease

3. MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

4. IEMOCAP: interactive emotional dyadic motion capture database

5. What all do audio transformer models hear? Probing acoustic representations for language delivery and its structure;shah,2021

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