Audio Text Pair

Audio-text pair research focuses on developing robust models that effectively link audio and textual representations, enabling tasks like audio captioning, speech recognition, and cross-modal retrieval. Current research emphasizes improving model performance through techniques like contrastive learning, leveraging large language models for data augmentation and prompt engineering, and exploring hierarchical interactions between audio segments and textual phrases. This work is significant for advancing multimodal understanding in AI, with applications ranging from improved accessibility for individuals with hearing impairments to more accurate and efficient transcription and information retrieval systems.