HiFi-Stream: Streaming Speech Enhancement With Generative Adversarial Networks

Speech Enhancement techniques have become core technologies in mobile devices and voice software. Still, modern deep learning solutions often require high amount of computational resources what makes their usage on low-resource devices challenging. We present HiFi-Stream, an optimized version of recently published HiFi++ model. Our experiments demonstrate that HiFi-Stream saves most of the qualities of the original model despite its size and computational complexity improved in comparison to the original HiFi++ making it one of the smallest and fastest models available. The model is evaluated in streaming setting where it demonstrates its superior performance in comparison to modern baselines.

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Publication Details

Journal
IEEE Signal Processing Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lsp.2025.3605074
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

HiFi-Stream: Streaming Speech Enhancement With Generative Adversarial Networks

Ekaterina Dmitrieva, Maksim Kaledin
1 links
IEEE Signal Processing Letters
Speech and Audio Processing
article

HiFi-Stream: Streaming Speech Enhancement With Generative Adversarial Networks

Ekaterina Dmitrieva, Maksim Kaledin
article en

Abstract

Speech Enhancement techniques have become core technologies in mobile devices and voice software. Still, modern deep learning solutions often require high amount of computational resources what makes their usage on low-resource devices challenging. We present HiFi-Stream, an optimized version of recently published HiFi++ model. Our experiments demonstrate that HiFi-Stream saves most of the qualities of the original model despite its size and computational complexity improved in comparison to the original HiFi++ making it one of the smallest and fastest models available. The model is evaluated in streaming setting where it demonstrates its superior performance in comparison to modern baselines.

IEEE Signal Processing LettersVol. 32
National Research University Higher School of Economics (RU)
Openalex Percentile: Top 72%
Speech and Audio Processing
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