SRC-gAudio: Sampling-Rate-Controlled Audio Generation

We introduce SRC-gAudio, a novel audio generation model designed to facilitate text-to-audio generation across a wide range of sampling rates within a single model architecture. SRC-gAudio incorporates the sampling rate as part of the generation condition to guide the diffusion-based audio generation process. Our model enables the generation of audio at multiple sampling rates with a single unified model. Furthermore, we explore the potential benefits of large-scale, low-sampling-rate data in enhancing the generation quality of high-sampling-rate audio. Through extensive experiments, we demonstrate that SRC-gAudio effectively generates audio under controlled sampling rates. Additionally, our results indicate that pre-training on low-sampling-rate data can lead to significant improvements in audio quality across various metrics.

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Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/apsipaasc63619.2025.10849319
Citations
1
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.35
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article

SRC-gAudio: Sampling-Rate-Controlled Audio Generation

Dong Yu, Chenxing Li, Manjie Xu
1 citations
Speech and Audio Processing
0.35
article

SRC-gAudio: Sampling-Rate-Controlled Audio Generation

Dong Yu, Chenxing Li, Manjie Xu
article en
1 citations

Abstract

We introduce SRC-gAudio, a novel audio generation model designed to facilitate text-to-audio generation across a wide range of sampling rates within a single model architecture. SRC-gAudio incorporates the sampling rate as part of the generation condition to guide the diffusion-based audio generation process. Our model enables the generation of audio at multiple sampling rates with a single unified model. Furthermore, we explore the potential benefits of large-scale, low-sampling-rate data in enhancing the generation quality of high-sampling-rate audio. Through extensive experiments, we demonstrate that SRC-gAudio effectively generates audio under controlled sampling rates. Additionally, our results indicate that pre-training on low-sampling-rate data can lead to significant improvements in audio quality across various metrics.

Tencent (China) (CN)
Openalex Percentile: Top 39%
Speech and Audio Processing
0.35
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SRC-gAudio: Sampling-Rate-Controlled Audio Generation — Dong Yu, Chenxing Li, et al. · (2024) | TGRS Research Map | TGRS