Objective: To investigate the effects of low-latency deep-learning-based noise reduction on measured and predicted speech intelligibility in noise in normal-hearing (NH) listeners, hearing-impaired ...
If old sci-fi shows are anything to go by, we're all using our computers wrong. We're still typing with our fingers, like cave people, instead of talking out loud the way the future was supposed to be ...
Welcome to star⭐ Discuss in Issues or collaborate via PRs~👏 Feel free to contact📧 me via [email protected]. 🎉 [01/23/2025] UPDATE ICLR 2025 conference papers successfully! 🎉 [01/23/2025] ...
Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...
In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...
ABSTRACT: Underwater radiated noise emitted by ships threatens marine ecosystems and impacts naval operations reliant on precise acoustic signatures. Measuring weak underwater radiated noise levels ...
ABSTRACT: A system of ordinary differential equations (ODEs) is produced by the semi-discretize method of discretizing the advection diffusion equation (ADE). Runge-Kutta methods of the second and ...
Single-channel speech enhancement is utilized in various tasks to mitigate the effect of interfering signals. Conventionally, to ensure the speech enhancement performs optimally, the speech ...
School of Biological Sciences, University of Southampton, Highfield Campus, SO17 1BJ Southampton, U.K. School of Chemistry and Chemical Engineering, University of Southampton, Highfield Campus, SO17 ...
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