Reverb and Noise as Real-World Effects in Speech Recognition Models: A Study and a Proposal of a Feature Set

Reverberation and background noise are common and unavoidable real-world phenomena that hinder automatic speaker recognition systems, particularly because these systems are typically trained on noise-free data. Most models rely on fixed audio feature sets. To evaluate the dependency of features on r...

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Bibliographic Details
Main Authors: Valerio Cesarini, Giovanni Costantini
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/23/11446
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