infinite-dataset-hub/SpeechPatternDisorderData

SpeechPatternDisorderData CSV数据集是为了支持机器学习模型在识别和诊断语音障碍（如口吃、构音障碍和运动性失语）方面的模式分析而设计的。该数据集包含了来自不同说话者的多样化音频剪辑和相应的文本转录，由临床专家进行了注释。

The SpeechPatternDisorderData CSV dataset is designed to support machine learning models in the recognition and diagnosis of speech disorders through pattern analysis, including stuttering, dysarthria, and apraxia. It includes a diverse collection of audio clips and corresponding text transcriptions from various speakers, annotated by clinical experts.