BrnoLM
A neural language modeling toolkit built on PyTorch.
This is a scientific piece of code, so expect rough edges.
BrnoLM has so far powered language modeling in the following papers:
- Beneš et al. Text Augmentation for Language Models in High Error Recognition Scenario
- Žmolíková et al. BUT System for CHiME-6 Challenge
- Beneš et al. i-vectors in language modeling: An efficient way of domain adaptation for feed-forward models
- Beneš et al. Unsupervised Language Model Adaptation for Speech Recognition with no Extra Resources
Installation
To install, clone this repository and exploit the provided setup.py, e.g.:
git clone git@github.com:BUTSpeechFIT/BrnoLM.git
cd BrnoLM
pip install . # or, if you don't care about environmental pollution: python setup.py install
If you want to edit the sources, pip with -e or setup.py develop.
Occasionally, a PIP version is produced, so you can simply pip install brnolm to obtain the last pre-packed version.
Requirements
The above way of installation takes care of dependencies. If you want to prepare an environment yourself, know that BrnoLM requires:
torch
numpy
scikit-learn
Exact tested versions are provided in setup.py.
Metadata
Release files for brnolm 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| brnolm-0.3.0.tar.gz | 43.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brnolm-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 94.3 kB
Release files / brnolm-0.3.0.tar.gz
| Download URL | brnolm-0.3.0.tar.gz |
|---|---|
| Size | 43.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.3 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.10.6
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Release files / brnolm-0.3.0-py3-none-any.whl
| Download URL | brnolm-0.3.0-py3-none-any.whl |
|---|---|
| Size | 51.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.3 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.10.6
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