No project description provided
Project description
Run speaker recognition algorithms
This package is part of the signal-processing and machine learning toolbox
Bob.
This package is part of the bob.bio packages, which allow to run comparable
and reproducible biometric recognition experiments on publicly available
databases.
This package contains functionality to run speaker recognition experiments. It is an extension to the bob.bio.base package, which provides the basic scripts. This package contains utilities that are specific for speaker recognition, such as:
- Audio databases
- Voice activity detection preprocessing
- Acoustic feature extractors
- Recognition algorithms based on acoustic features
For further information about bob.bio, please read
its Documentation.
Installation
Complete Bob's installation instructions. Then, to install this package, run:
pip install bob.bio.spear
Contact
For questions or reporting issues to this software package, contact our development mailing list.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file bob.bio.spear-5.0.1b0.tar.gz.
File metadata
- Download URL: bob.bio.spear-5.0.1b0.tar.gz
- Upload date:
- Size: 1.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1b8edd595d80c6afd44e9c1f198baafca45515ac32fda26e64362fdef25ba87f |
|
| MD5 | e90ef716f29e36d49ac75f4b3cd151b4 |
|
| BLAKE2b-256 | 22d01c1784c65be17f4c647949580fece97376844ec5ba0b4e0496a251c6500b |
File details
Details for the file bob.bio.spear-5.0.1b0-py2.py3-none-any.whl.
File metadata
- Download URL: bob.bio.spear-5.0.1b0-py2.py3-none-any.whl
- Upload date:
- Size: 59.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f3461272dd49a385a2f6b663859a595f4fb47097eafdc4a833a9777bc267a5ce |
|
| MD5 | 264e16b409f747380b1e6d6e1011d4da |
|
| BLAKE2b-256 | 0c84d64becdba6b0beef9b37a1714b92fc40f3b20365f38df2d57289ad7fcd9f |
