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.
Authors
- Dong Yu (ORCID: https://orcid.org/0000-0003-0520-6844)
- Chenxing Li (ORCID: https://orcid.org/0000-0002-3997-8212)
- Manjie Xu (ORCID: https://orcid.org/0000-0001-9220-3662)
Institutions
- Tencent (China) (CN)
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