2016
INTERSPEECH
INTERSPEECH 2016
An Objective Evaluation Methodology for Blind Bandwidth Extension
Abstract
In this paper we introduce an objective evaluation methodology for Blind Bandwidth Extension (BBE) algorithms. The methodology combines an objective method, POLQA, with a bandwidth requirement, based on a frequency mask. We compare its results to subjective test data, and show that it gives consistent results across several bandwidth extension algorithms. Additionally, we show that our latest BBE algorithm achieves quality similar to AMR-WB at 8.85 kbps, using both subjective and objective evaluation methods.
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Conference Pioneer
— INTERSPEECH 2016
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Keyword Pioneer
— audio quality assessment
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics, Security & Privacy, Speech & Audio