Výsledky vyhledávání - "KENDRICK, PAUL"

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Diffusion-based Speech Enhancement with Schr\'odinger Bridge and Symmetric Noise Schedule

Autor: Wang, Siyi, Liu, Siyi, Harper, Andrew, Kendrick, Paul, Salzmann, Mathieu, Cernak, Milos

Recently, diffusion-based generative models have demonstrated remarkable performance in speech enhancement tasks. However, these methods still encounter challenges, including the lack of structural information and poor performance in low Signal-to-No

Externí odkaz: http://arxiv.org/abs/2409.05116

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On real-time multi-stage speech enhancement systems

Autor: Meng, Lingjun, Coldenhoff, Jozef, Kendrick, Paul, Stojkovic, Tijana, Harper, Andrew, Ratmanski, Kiril, Cernak, Milos

Recently, multi-stage systems have stood out among deep learning-based speech enhancement methods. However, these systems are always high in complexity, requiring millions of parameters and powerful computational resources, which limits their applica

Externí odkaz: http://arxiv.org/abs/2312.12415

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Multi-Channel MOSRA: Mean Opinion Score and Room Acoustics Estimation Using Simulated Data and a Teacher Model

Autor: Coldenhoff, Jozef, Harper, Andrew, Kendrick, Paul, Stojkovic, Tijana, Cernak, Milos

Previous methods for predicting room acoustic parameters and speech quality metrics have focused on the single-channel case, where room acoustics and Mean Opinion Score (MOS) are predicted for a single recording device. However, quality-based device

Externí odkaz: http://arxiv.org/abs/2309.11976

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Dissertation/ Thesis

Blind estimation of room acoustic parameters from speech and music signals

Autor: Kendrick, Paul

The acoustic character of a space is often quantified using objective room acoustic parameters. The measurement of these parameters is difficult in occupied conditions and thus measurements are usually performed when the space is un-occupied. This is

Externí odkaz: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502798

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