FEMH Voice Data Challenge: Voice disorder Detection and Classification using Acoustic Descriptors

被引：0

作者：

Bhat, Chitralekha ^{[1
]}

Kopparapu, Sunil Kumar ^{[1
]}

机构：

[1] Tata Consultancy Serv Ltd, TCS Res & Innovat, Mumbai, Maharashtra, India

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2018年

关键词：

FEMH; Voice disorders; Neoplasm; Phonotrauma; Vocal Palsy;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the participation of TCS Research and Innovation, Mumbai in the FEMH voice data challenge. The goal of the FEMH voice data challenge is detection of pathological voice and classification into three different categories using voice samples. In this work, we use a mix of speech processing and machine learning techniques to not only automatically detect pathological speech but also classify into one of the three categories namely, Neoplasm, Phonotrauma and Vocal Palsy.

引用

页码：5233 / 5237

页数：5

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