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 files for bob.bio.spear 5.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bob_bio_spear-5.0.1.tar.gz | 1.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bob.bio.spear-5.0.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / bob_bio_spear-5.0.1.tar.gz
| Download URL | bob_bio_spear-5.0.1.tar.gz |
|---|---|
| Size | 1.9 MB |
| Tags | Source |
|
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Release files / bob.bio.spear-5.0.1-py2.py3-none-any.whl
| Download URL | bob.bio.spear-5.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 59.7 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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