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 …

We present the third edition of the VoiceMOS Challenge, a scientific initiative designed to
advance research into automatic prediction of human speech ratings. There were three …

We present the second edition of the VoiceMOS Challenge, a scientific event that aims to
promote the study of automatic prediction of the mean opinion score (MOS) of synthesized …

The ICASSP 2024 Speech Signal Improvement Challenge aims to advance research in
enhancing speech signal quality within communication systems. The speech signal quality …

Subjective speech quality assessment is the gold standard for evaluating speech
enhancement processing and telecommunication systems. The commonly used standard …

Traditionally, speech quality evaluation relies on subjective assessments or intrusive
methods that require reference signals or additional equipment. However, over recent years …

In this paper, we present SCOREQ, a novel approach for speech quality prediction.
SCOREQ is a triplet loss function for contrastive regression that addresses the domain …

Convolutional neural networks (CNNs) have been widely utilized as the main building block
for many non-intrusive speech quality assessment (NISQA) methods. A new trend is to add a …

Because a reference signal is often unavailable in real-world scenarios, reference-free
speech quality and intelligibility assessment models are important for many speech …

Self-supervised learning (SSL) speech representations learned from large amounts of
diverse, mixed-quality speech data without transcriptions are gaining ground in many …