Icassp 2023 deep noise suppression challenge

H Dubey, A Aazami, V Gopal, B Naderi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
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 …

DNSMOS P. 835: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors

CKA Reddy, V Gopal, R Cutler - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
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 …

DNSMOS: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors

CKA Reddy, V Gopal, R Cutler - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
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 …

ViSQOL v3: An open source production ready objective speech and audio metric

M Chinen, FSC Lim, J Skoglund… - … on quality of …, 2020 - ieeexplore.ieee.org
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 …

Deep learning-based non-intrusive multi-objective speech assessment model with cross-domain features

RE Zezario, SW Fu, F Chen, CS Fuh… - … on Audio, Speech …, 2022 - ieeexplore.ieee.org
This study proposes a cross-domain multi-objective speech assessment model, called
MOSA-Net, which can simultaneously estimate the speech quality, intelligibility, and …

Objective measures of perceptual audio quality reviewed: An evaluation of their application domain dependence

M Torcoli, T Kastner, J Herre - IEEE/ACM Transactions on …, 2021 - ieeexplore.ieee.org
Over the past few decades, computational methods have been developed to estimate
perceptual audio quality. These methods, also referred to as objective quality measures, are …

Personalized speech enhancement: New models and comprehensive evaluation

SE Eskimez, T Yoshioka, H Wang… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Personalized speech enhancement (PSE) models utilize additional cues, such as speaker
embeddings like d-vectors, to remove background noise and interfering speech in real-time …

NORESQA: A framework for speech quality assessment using non-matching references

P Manocha, B Xu, A Kumar - Advances in neural …, 2021 - proceedings.neurips.cc
The perceptual task of speech quality assessment (SQA) is a challenging task for machines
to do. Objective SQA methods that rely on the availability of the corresponding clean …

ConferencingSpeech 2022 challenge: Non-intrusive objective speech quality assessment (NISQA) challenge for online conferencing applications

G Yi, W **ao, Y **ao, B Naderi, S Möller… - arxiv preprint arxiv …, 2022 - arxiv.org
With the advances in speech communication systems such as online conferencing
applications, we can seamlessly work with people regardless of where they are. However …

SESQA: semi-supervised learning for speech quality assessment

J Serrà, J Pons, S Pascual - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
Automatic speech quality assessment is an important, transversal task whose progress is
hampered by the scarcity of human annotations, poor generalization to unseen recording …