Work

A Comparative Study of Acoustic Features for EMG-to-Speech Conversion in Low-Source Dataset

Year: 2024

Type: conference-paper

Source: International Academic Exchange Conference on Science and Technology Innovation (IAECST)

DOI: 10.1109/iaecst64597.2024.11117914

Authors: Xianzhang Zeng, Yang Liu, Longhan Xie, Beicheng Zhu

Institution: South China University of Technology

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G2360582917, G5607812158, G65312728

OpenAlex ID: W4413394705

FWCI:

Cites: 14

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Related to: 10