Measuring and monitoring speech quality for voice over IP with POLQA, viSQOL and p.563

By Andrew Hines, Eoin Gillen, Naomi Harte. 2015

9 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Babak Naderi
2. Sebastian Möller
3. Gabriel Mittag
4. Ross Cutler

In Computational Mechanics

1. Babak Naderi

In Signal Processing

1. Babak Naderi
2. Sebastian Möller
3. Gabriel Mittag
4. Assmaa Chehadi
5. Ross Cutler
6. Vishak Gopal

Citations in the corpus

• NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets (2021, background): “Furthermore, the prediction performance showed to decrease for conversational speech and modern VoIP (Voice over IP) distortions that were not present when P.563 was developed [6].”