SRC-gAudio: Sampling-Rate-Controlled Audio Generation
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910641763123200 |
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| author | Li, Chenxing Xu, Manjie Yu, Dong |
| author_facet | Li, Chenxing Xu, Manjie Yu, Dong |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_06544 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | SRC-gAudio: Sampling-Rate-Controlled Audio Generation Li, Chenxing Xu, Manjie Yu, Dong Sound Audio and Speech Processing 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. |
| title | SRC-gAudio: Sampling-Rate-Controlled Audio Generation |
| topic | Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2410.06544 |