Rita Frieske

About Me

Current Position: PhD Candidate at the Hong Kong University of Science and Technology

Research Interests: Natural Language Processing, Automatic Speech Recognition, Machine Translation, Artificial Intelligence

I am a passionate researcher and PhD candidate at the Hong Kong University of Science and Technology, specializing in the fields of Natural Language Processing, Automatic Speech Recognition, Machine Translation, and Artificial Intelligence. With a strong commitment to advancing the understanding and capabilities of AI, I have contributed to several significant publications and projects that push the boundaries of technology.

My work has been recognized with a notable citation count, reflecting the impact and relevance of my research within the academic community[^1^][1]. I have also served as a Research Assistant in the Electronic and Computer Engineering department, where I honed my skills and contributed to the field of speech recognition[^2^][2].

As a dedicated scholar, I am always seeking new challenges and opportunities to further my knowledge and make meaningful contributions to the world of AI. Feel free to reach out to me through my contact information below.

Publications

• Survey of hallucination in natural language generation - ACM Computing Surveys[^1^][1]
• A taxonomy and review of generalization research in NLP - Nature Machine Intelligence[^1^][1]
• CI-AVSR: A Cantonese Audio-Visual Speech Dataset for In-car Command Recognition - LREC 2022[^2^][3]
• What did I just hear? Detecting pornographic sounds in adult videos using neural networks - Audio Mostly Conference 2022[^2^][3]
• Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion Recognition
• Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models
• ASCEND: A spontaneous Chinese-English dataset for code-switching in multi-turn conversation
• Automatic speech recognition datasets in Cantonese: A survey and new dataset
• VScript: Controllable script generation with visual presentation

Contact Information