Phoneme Segmentation

Phoneme segmentation, the task of identifying boundaries between individual speech sounds (phonemes), is crucial for various speech technologies and linguistic research. Current research focuses on improving the accuracy and efficiency of segmentation using diverse approaches, including hidden Markov models, deep neural networks (like those used in forced alignment systems), and self-supervised learning methods that leverage large multilingual datasets. These advancements are driving progress in areas such as unsupervised speech recognition, quantitative phonetic typology, and the creation of more accessible and diverse speech corpora for research and development.