Update README.md
#2
by
reach-vb
- opened
README.md
CHANGED
|
@@ -9,7 +9,7 @@ We introduce AudioSeal, a method for speech localized watermarking, with state-o
|
|
| 9 |
Audioseal achieves state-of-the-art detection performance of both natural and synthetic speech at the sample level (1/16k second resolution), it generates limited alteration of signal quality and is robust to many types of audio editing.
|
| 10 |
Audioseal is designed with a fast, single-pass detector, that significantly surpasses existing models in speed — achieving detection up to two orders of magnitude faster, making it ideal for large-scale and real-time applications.
|
| 11 |
|
| 12 |
-
#
|
| 13 |
|
| 14 |
AudioSeal requires Python >=3.8, Pytorch >= 1.13.0, [omegaconf](https://omegaconf.readthedocs.io/), [julius](https://pypi.org/project/julius/), and numpy. To install from PyPI:
|
| 15 |
|
|
@@ -25,7 +25,7 @@ cd audioseal
|
|
| 25 |
pip install -e .
|
| 26 |
```
|
| 27 |
|
| 28 |
-
#
|
| 29 |
|
| 30 |
We provide the checkpoints for the following models:
|
| 31 |
|
|
@@ -40,7 +40,7 @@ Note that the message is optional and has no influence on the detection output.
|
|
| 40 |
|
| 41 |
**Note**: We are working to release the training code for anyone wants to build their own watermarker. Stay tuned !
|
| 42 |
|
| 43 |
-
#
|
| 44 |
|
| 45 |
Audioseal provides a simple API to watermark and detect the watermarks from an audio sample. Example usage:
|
| 46 |
|
|
|
|
| 9 |
Audioseal achieves state-of-the-art detection performance of both natural and synthetic speech at the sample level (1/16k second resolution), it generates limited alteration of signal quality and is robust to many types of audio editing.
|
| 10 |
Audioseal is designed with a fast, single-pass detector, that significantly surpasses existing models in speed — achieving detection up to two orders of magnitude faster, making it ideal for large-scale and real-time applications.
|
| 11 |
|
| 12 |
+
# 🧉 Installation
|
| 13 |
|
| 14 |
AudioSeal requires Python >=3.8, Pytorch >= 1.13.0, [omegaconf](https://omegaconf.readthedocs.io/), [julius](https://pypi.org/project/julius/), and numpy. To install from PyPI:
|
| 15 |
|
|
|
|
| 25 |
pip install -e .
|
| 26 |
```
|
| 27 |
|
| 28 |
+
# ⚙️ Models
|
| 29 |
|
| 30 |
We provide the checkpoints for the following models:
|
| 31 |
|
|
|
|
| 40 |
|
| 41 |
**Note**: We are working to release the training code for anyone wants to build their own watermarker. Stay tuned !
|
| 42 |
|
| 43 |
+
# 🧮 Usage
|
| 44 |
|
| 45 |
Audioseal provides a simple API to watermark and detect the watermarks from an audio sample. Example usage:
|
| 46 |
|