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2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) - Comparison of STOI-type Intermediate Feature for Listening Difficulty Rating Prediction Model by Noguchi, Keita; Kobayashi, Yosuke; Kishigami, Jay; Kurisu, Kiyohiro is a scholarly article available to read on EtoBox.

What is 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) - Comparison of STOI-type Intermediate Feature for Listening Difficulty Rating Prediction Model about?

Automatic quality evaluation of outdoor publicaddress system is required for a disaster situation. We had earlier developed a system to predict the listening difficulty rating (LDR) of a PA system. However, the prediction error was large, and the performance was not satisfactory. Here, we use STOI-type indices as intermediate features for improvement of the LDR prediction system. The results show that ESTOI and SIMI should be chosen optimally for each SNR condition.

Author

Noguchi, Keita; Kobayashi, Yosuke; Kishigami, Jay; Kurisu, Kiyohiro

Publisher

IEEE

Published

2019

Language

EN