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For speech processing, the multi-resolution analysis is a well fitted representation to enhance the following principles of decision : • Stationary parts or non ...
Abstract. How speech signals are analyzed and represented remains a foundational challenge both for cognitive science and neuroscience.
Oct 10, 2018 · In this work, we try to explore if using more than just one time-frequency resolution in the speech analysis can help DNNs for ASR acoustic ...
The purpose to deal with artifact on observations measurements resulting from usual speech processing, it is proposed to extend the representation of the ...
Oct 10, 2018 · Our experiments show that using a multi-resolution speech representation tends to improve over results using the baseline single resolution ...
This paper investigates the potential of exploiting the redundancy implicit in multiple resolution analysis for automatic speech recognition systems.
This paper describes a novel approach of using multi-resolution analysis (MRA) for automatic speech recognition. Two-dimensional MRA is applied to the ...
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Nov 25, 2023 · We propose a multi-resolution framework for speech representation learning, which demonstrate significant gain in performance and efficiency.
Oct 4, 2023 · This paper aims to incorporate multi-resolution information into speech self-supervised representation learning.
Missing: analysis. | Show results with:analysis.
Experimental results on the How2dataset, indicate that multiresolution training can speed up convergence by around 50% and relatively improves word error rate ( ...