The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the
DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster …

Human subjective evaluation is the" gold standard" to evaluate speech quality optimized for
human perception. Perceptual objective metrics serve as a proxy for subjective scores. We …

In this paper, we present an update to the NISQA speech quality prediction model that is
focused on distortions that occur in communication networks. In contrast to the previous …

Human subjective evaluation is the" gold standard" to evaluate speech quality optimized for
human perception. Perceptual objective metrics serve as a proxy for subjective scores. The …

Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …

Existing objective evaluation metrics for voice conversion (VC) are not always correlated
with human perception. Therefore, training VC models with such criteria may not effectively …

The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area
of noise suppression to achieve superior perceptual speech quality. We recently organized …

Estimation of perceptual quality in audio and speech is possible using a variety of methods.
The combined v3 release of ViSQOL and ViSQOLAudio (for speech and audio …

In this work, we further develop the conformer-based metric generative adversarial network
(CMGAN) model 1 for speech enhancement (SE) in the time-frequency (TF) domain. This …

The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate research
in acoustic echo cancellation (AEC), which is an important area of speech enhancement and …