AESCA (Yamamoto+, 2025), the top-performing system in AudioMOS Challenge Track 2 to predict the audio aesthetics score (AES) - CyberAgentAILab/aesca

We propose an audio aesthetics score (AES) prediction system by CyberAgent (AESCA) for AudioMOS Challenge 2025 (AMC25) Track 2. The AESCA comprises a Kolmogorov--Arnold Network (KAN)-based audiobox ae...

We propose an audio aesthetics score (AES) prediction system by CyberAgent (AESCA) for AudioMOS Challenge 2025 (AMC25) Track 2. The AESCA comprises a Kolmogorov--Arnold Network (KAN)-based audiobox ae...

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

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Description of the dataset The Oldenburg Hearing Health Repository (OHHR) provides a publicly accessible dataset that can be used to advance hearing health research. It includes a constellation of dat...

Altmetric has expanded its tracking capabilities by integrating Bluesky, as a new attention source.

This paper presents the Cadenza Woodwind Dataset . This publicly available data is synthesised audio for woodwind quartets including renderings of eac…

Summary v1.62 brings a few new features requested by users (Tectonic support, WSL support, generation from external file, default Fill color for Shape displays, export/import of settings to XML) an...

Hearing aids are typically programmed using the individual’s audiometric thresholds and verified using real-ear measures. Developments in technology have resulted in a new category of direct-to-con...

Selective state space models (SSMs) represented by Mamba have demonstrated their computational efficiency and promising outcomes in various tasks, including automatic speech recognition (ASR). Mamba h...

Open-source hearing aid (HA) research tools provide avenues for testing new audiological concepts. This study compared a wearable research HA (RHA) – the “Portable Hearing Laboratory” – to a high-e...

Efficient audio quality assessment is vital for streamlining audio codec development. Objective assessment tools have been developed over time to algorithmically predict quality ratings from subjectiv...

YouTube video by Eriksholm Research Centre

SANE 2024, a one-day event gathering researchers and students in speech and audio from the Northeast of the American continent, was held on Thursday October ...

SANE 2024, a one-day event gathering researchers and students in speech and audio from the Northeast of the American continent, was held on Thursday October ...

YouTube video by - LΛMPLIGHT

In the development of automatic speech recognition systems, achieving human-like performance has been a long-held goal. Recent releases of large spoken language

Human hearing is robust to noise, but the basis of this robustness is poorly understood. Several lines of evidence are consistent with the idea tha...

A team led by researchers at the University of Washington has created a headphone prototype that allows listeners to hear people speaking within a bubble with a programmable radius of 3 to 6 feet....

Rei Harakami · Album · 2006 · 7 songs