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Prediction of Parkson disease by speech recognition based on pytorch

Python 100.00%

parkinson's Introduction

Parkinson

Introduction

Prediction of Parkson disease by speech recognition based on pytorch
Algorithm design based on GAN principle Parkinson2

Installation

python==3.8
torch>=1.6

Data preparation

You can get the data

Training

python *_train.py

Results

python yyr_test1.py

table_1

	prediction	F1	MCC
Concat	69.04	64.99	0.3379
TQWT	80.78	76.24	0.5683
MFCC	82.5	88.6	0.513
Wavelet	75	85.1	0.161

table_2

	prediction	recall	F1	MCC
Concat_Wavelet	67.92	65.49	66.68	0.3333
MFCC_Concat	69.19	67.06	68.11	0.3618
MFCC_Wavelet	64.47	61.58	62.99	0.2589
TQWT_Concat	79.56	75.18	77.31	0.5457
TQWT_MFCC	88.36	81.22	84.64	0.6921
TQWT_Wavelet	77.8	75.68	76.73	0.5344

table_3

	prediction	recall	F1	MCC
TQWT_MFCC_Wavelet	75.87	72.04	73.91	0.4776
TQWT_MFCC_Concat	84.9	78.85	81.76	0.6347
TQWT_Wavelet_Concat	80.07	77.78	78.91	0.5780
MFCC_Wavelet_Concat	68.44	65.24	66.8	0.3353

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yangyiran06 ai001997 gannyn lay123design

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