ICASSP 2024 Speech Signal Improvement Challenge
Nicolae Catalin Ristea, Ando Saabas, Ross Cutler, Babak Naderi,, Sebastian Braun, Solomiya Branets

TL;DR
The ICASSP 2024 Speech Signal Improvement Challenge aims to advance speech quality enhancement research by providing new datasets, metrics, and evaluating multiple systems in real-time and non-real-time tracks.
Contribution
This challenge introduces a dataset synthesizer, extended evaluation metrics, and benchmarks multiple systems to foster progress in speech signal quality improvement.
Findings
13 systems evaluated in real-time track
11 systems evaluated in non-real-time track
Use of both subjective and objective metrics for assessment
Abstract
The ICASSP 2024 Speech Signal Improvement Grand Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems. This marks our second challenge, building upon the success from the previous ICASSP 2023 Grand Challenge. We enhance the competition by introducing a dataset synthesizer, enabling all participating teams to start at a higher baseline, an objective metric for our extended P.804 tests, transcripts for the 2023 test set, and we add Word Accuracy (WAcc) as a metric. We evaluate a total of 13 systems in the real-time track and 11 systems in the non-real-time track using both subjective P.804 and objective Word Accuracy metrics.
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Taxonomy
TopicsSpeech Recognition and Synthesis · Speech and Audio Processing · Advanced Data Compression Techniques
