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Acemap > Paper > End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks.

End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks.

2020

Mathias Bach Pedersen
Morten Kolbæk
Asger Andersen
Søren Holdt Jensen
Jesper Jensen

Keywords:

Convolutional neural network
Speech recognition
Time domain
Intelligibility (communication)
Computer science
End-to-end principle

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