Prediction of speech intelligibility with DNN-based performance measures

no code implementations • 17 Mar 2022 • Angel Mario Castro Martinez, Constantin Spille, Jana Roßbach, Birger Kollmeier, Bernd T. Meyer

This paper presents a speech intelligibility model based on automatic speech recognition (ASR), combining phoneme probabilities from deep neural networks (DNN) and a performance measure that estimates the word error rate from these probabilities.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2