http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Dysarthric-Speech Detection Using Transfer Learning With Convolutional Neural Networks
S R Mani Sekhar,Gaurav Kashyap,Akshay Bhansali,Andrew Abishek A.,Kushan Singh 한국통신학회 2022 ICT Express Vol.8 No.1
Speech Dysarthria is a disorder in which speech muscles become weak, and it becomes difficult to articulate otherwise linguistically normal speech. This work is based on detection of speech dysarthria and how it can assist physicians, specialists, and doctors in its detection. The proposed work achieves higher accuracies on the TORGO dataset by using a transfer learning based convolutional neural network model (TL-CNN) and by converting the audio samples to Mel-spectrograms. The proposed work TL-CNN achieved better accuracy when compared with other machine learning models.