This repo contains the code for "Voice Disorder Analysis: A Transformer-based Approach", accepted at Interspeech 2024
Source code from 2023 AI CUP Competition on Multimodal Classification of Voice Pathology.
Automatic anonymization of pathological speech
Cross-corpus evaluation of spectral–acoustic feature fusion for pathological voice discrimination using the MEEI and USP voice pathology corpora.
Flask backend for AI-assisted voice pathology screening using acoustic feature extraction, a bidirectional LSTM classifier, automated clinical-style PDF reports, and persistent analysis history.
Intra-Corpus Analysis of Spectral-Acoustic Fusion across the MEEI and USP Corpora
Threshold-based voice biomarker analysis using Mel Filterbank Magnitudes (MFBM)
SVM-based discrimination of healthy and pathological voices using spectral and acoustic features
MAIC VOICE AI 대회. 음성 멜-스펙트럼 데이터를 이용한 음성 질환 진단 및 분류.
Add a description, image, and links to the voice-pathology topic page so that developers can more easily learn about it.
To associate your repository with the voice-pathology topic, visit your repo's landing page and select "manage topics."