Audio Editing with Non-Rigid Text Prompts
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| Soggetti: | |
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| _version_ | 1866912041614180352 |
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| author | Paissan, Francesco Della Libera, Luca Wang, Zhepei Ravanelli, Mirco Smaragdis, Paris Subakan, Cem |
| author_facet | Paissan, Francesco Della Libera, Luca Wang, Zhepei Ravanelli, Mirco Smaragdis, Paris Subakan, Cem |
| contents | In this paper, we explore audio-editing with non-rigid text edits. We show that the proposed editing pipeline is able to create audio edits that remain faithful to the input audio. We explore text prompts that perform addition, style transfer, and in-painting. We quantitatively and qualitatively show that the edits are able to obtain results which outperform Audio-LDM, a recently released text-prompted audio generation model. Qualitative inspection of the results points out that the edits given by our approach remain more faithful to the input audio in terms of keeping the original onsets and offsets of the audio events. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_12858 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Audio Editing with Non-Rigid Text Prompts Paissan, Francesco Della Libera, Luca Wang, Zhepei Ravanelli, Mirco Smaragdis, Paris Subakan, Cem Sound Machine Learning Audio and Speech Processing In this paper, we explore audio-editing with non-rigid text edits. We show that the proposed editing pipeline is able to create audio edits that remain faithful to the input audio. We explore text prompts that perform addition, style transfer, and in-painting. We quantitatively and qualitatively show that the edits are able to obtain results which outperform Audio-LDM, a recently released text-prompted audio generation model. Qualitative inspection of the results points out that the edits given by our approach remain more faithful to the input audio in terms of keeping the original onsets and offsets of the audio events. |
| title | Audio Editing with Non-Rigid Text Prompts |
| topic | Sound Machine Learning Audio and Speech Processing |
| url | https://arxiv.org/abs/2310.12858 |