Promote interdisciplinary dialogue between researchers in artificial intelligence and speech communication.
Highlight recent advances in AI-driven speech technologies, including synthesis, recognition, and evaluation.
Encourage collaboration across linguistics, computer science, and engineering to address challenges in low-resource languages.
Provide a platform for presenting innovative methods, applications, and case studies in speech communication.
Foster methodological transparency and reproducibility in AI and speech-related research.
Support young researchers by offering opportunities to share work and receive constructive feedback.
The scope of the session includes, but is not limited to, the following topics:
- Artificial Intelligence in Speech Processing
- Speech Synthesis and Voice Generation
- Automatic Speech Recognition (ASR)
- Dialogue Systems and Conversational AI
- Multimodal Communication (speech, text, vision)
- Evaluation Protocols for Speech Technologies
- Low-resource and endangered language applications
- Ethical and societal impacts of AI in speech
- Human–computer interaction through speech
- Cross-lingual and multilingual speech communication
- Large Language Models for Speech and Dialogue