This paper investigates the potential of exploiting the redundancy implicit in multiple resolution analysis for automatic speech recognition systems.
This paper investigates the potential of exploiting the redundancy implicit in Multi Resolution Analysis (MRA) for Automatic Speech Recognition (ASR) ...
Apr 12, 2019 · PDF | On Sep 16, 2002, Roberto Gemello and others published Robust multiple resolution analysis for automatic speech recognition | Find, ...
Multiple resolution analysis for robust automatic speech recognition · R. Gemello, F. Mana, +1 author. R. Mori · Published in Computer Speech and Language 2006 ...
In this work, we compare several exemplar-based factorisation and decoding algorithms in pursuit of higher noise robustness. The algorithms are evaluated using ...
Roberto Gemello, Franco Mana, Dario Albesano, Renato de Mori: Robust multiple resolution analysis for automatic speech recognition. INTERSPEECH 2003: 3033- ...
This paper investigates the potential of exploiting the redundancy implicit in multiple resolution analysis for automatic speech recognition systems.
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The work presented here explores a biologically-motivated multi-resolution speaker information representation obtained by performing an intricate yet ...
Jan 30, 2024 · Existing Self-Supervised Learning (SSL) models for speech typically process speech signals at a fixed resolution of 20 milliseconds.
In addition, they will use variable frame rate analysis, which will allow for multi-resolution analysis, as well as implement lexical access based on gesture, ...