人工智能技术在听觉言语康复中的应用OA

Auditory and speech rehabilitation for hearing-impaired population.faces challenges such as uneven distribution of rehabilitation resources and high costs,which constrain the development of high-quality rehabilitation services.In particular,traditional rehabilitation methods fail to meet the auditory and speech rehabilitation needs of adults with hearing loss.The emergence of artificial intelligence(AI)provides a new way to solve these troubles in auditory and speech rehabilitation for the hearing-impaired population.This paper review the technological evolution of AI in this field,from traditional signal processing and machine learning to deep learning,large models,and clinical translation.Introduce the core technical architecture,including front-end perception,mid-level processing and back-end application.Now,AI has made significant progress in speech enhancement,outcome prediction,multimodal fusion and personalized rehabilitation plan generation.But,There are still difficulties remain,such as data scarcity and heterogeneity,insufficient model generalization capability,lack clinical interpretability and barriers to translation.Future works should focus on constructing large-scale multimodal databases,better out-of-distribution generalization of models and strengthen the integration of AI tools into clinical practice to make personalized and intelligent in auditory and speech rehabilitation for the hearing-impaired population.