International Phonetic Alphabet

The International Phonetic Alphabet (IPA) provides a standardized system for representing the sounds of spoken language, facilitating cross-linguistic research and applications in speech technology. Current research focuses on automating IPA transcription from speech using deep learning models, particularly transformer-based architectures and connectionist temporal classification (CTC), often incorporating techniques like transfer learning and data augmentation to address challenges posed by low-resource languages and diverse dialects. These advancements are improving the accuracy and efficiency of speech recognition, machine translation, and other applications, while also enabling more detailed phonetic analyses across languages. The resulting resources and models are proving valuable for linguistic research, speech therapy, and the development of inclusive technologies.