PhD Position: Identification of Non-Genuine Audio Using Semantic Analysis Xi’an Jiaotong-Liverpool University in China

This PhD opportunity at Xi’an Jiaotong-Liverpool University, within the School of Advanced Technology, focuses on the identification of non-genuine audio content. The research aims to develop robust techniques for detecting semantic inconsistencies in audio that has been AI-generated, partially synthesised, or artificially combined. As digital media and artificial intelligence technologies advance, the authenticity of audio content becomes increasingly critical for security, media integrity, and public trust.

Students will explore state-of-the-art methods in audio forensics, semantic analysis, and machine learning to address challenges posed by deepfakes and other forms of synthetic audio. The project is ideal for candidates with backgrounds in computer science, digital media, or information technology, and who have a keen interest in multimedia security and AI applications. The research will be supervised by Dr. SL Li, an expert in the field.

Applicants should possess strong programming skills and a solid foundation in AI or audio signal processing. Proficiency in English is required, and international students may need to provide language test scores. While funding is not specified, the university offers a vibrant research environment and access to advanced facilities.

Applications are accepted year-round, providing flexibility for prospective students. To apply, candidates should submit their CV, academic transcripts, and a statement of research interest through the university’s online portal. For further information, contact the School of Advanced Technology or visit the project link provided.