Tweaking autoregressive methods for inpainting of gaps in audio signals
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866914186646257664 |
|---|---|
| author | Mokrý, Ondřej Rajmic, Pavel |
| author_facet | Mokrý, Ondřej Rajmic, Pavel |
| contents | A novel variant of the Janssen method for audio inpainting is presented and compared to other popular audio inpainting methods based on autoregressive (AR) modeling. Both conceptual differences and practical implications are discussed. The experiments demonstrate the importance of the choice of the AR model estimator, window/context length, and model order. The results show the superiority of the proposed gap-wise Janssen approach using objective metrics, which is confirmed by a listening test. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_04433 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Tweaking autoregressive methods for inpainting of gaps in audio signals Mokrý, Ondřej Rajmic, Pavel Audio and Speech Processing Sound A novel variant of the Janssen method for audio inpainting is presented and compared to other popular audio inpainting methods based on autoregressive (AR) modeling. Both conceptual differences and practical implications are discussed. The experiments demonstrate the importance of the choice of the AR model estimator, window/context length, and model order. The results show the superiority of the proposed gap-wise Janssen approach using objective metrics, which is confirmed by a listening test. |
| title | Tweaking autoregressive methods for inpainting of gaps in audio signals |
| topic | Audio and Speech Processing Sound |
| url | https://arxiv.org/abs/2403.04433 |