High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices

Rob Dunne; Tim Morris; Simon Harper

doi:10.21203/rs.3.rs-63796/v1

High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices

Research output: Other contribution

Original language	Undefined
DOIs	https://doi.org/10.21203/rs.3.rs-63796/v1
Publication status	Published - 26 Aug 2020

Access to Document

10.21203/rs.3.rs-63796/v1

Cite this

@misc{f0b1bb5a2c3b4d17939efb52f05388ad,

title = "High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices",

author = "Rob Dunne and Tim Morris and Simon Harper",

year = "2020",

month = aug,

day = "26",

doi = "10.21203/rs.3.rs-63796/v1",

language = "Undefined",

type = "Other",

}

TY - GEN

T1 - High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices

AU - Dunne, Rob

AU - Morris, Tim

AU - Harper, Simon

PY - 2020/8/26

Y1 - 2020/8/26

UR - https://doi.org/10.21203/rs.3.rs-63796/v1

U2 - 10.21203/rs.3.rs-63796/v1

DO - 10.21203/rs.3.rs-63796/v1

M3 - Other contribution

ER -

High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices

Access to Document

Other files and links

COVID-19 CNN MFCC classifier

Cite this

High accuracy classification of COVID-19 coughs using Mel-frequency cepstral coefficients and a Convolutional Neural Network with a use case for smart home devices

Access to Document

Other files and links

Datasets

COVID-19 CNN MFCC classifier

Cite this