Aligner - PyTorch
Project description
Aligner - PyTorch
Sequence alignement methods with helpers for PyTorch.
Install
pip install aligner-pytorch
Usage
MAS
MAS (Monotonic Alignment Search) from GlowTTS. This can be used to get the alignment of any (similarity) matrix. Implementation in optimized Cython.
from aligner_pytorch import mas
sim = torch.rand(1, 4, 6) # [batch_size, m_rows, n_cols]
alignment = mas(sim)
"""
sim = tensor([[
[0.2, 0.8, 0.9, 0.9, 0.9, 0.4],
[0.6, 0.8, 0.9, 0.7, 0.1, 0.4],
[1.0, 0.4, 0.4, 0.2, 1.0, 0.7],
[0.1, 0.3, 0.1, 0.7, 0.6, 0.9]
]])
alignment = tensor([[
[1, 0, 0, 0, 0, 0],
[0, 1, 1, 1, 0, 0],
[0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 1]
]], dtype=torch.int32)
"""
Citations
Monotonic Alignment Search
@misc{2005.11129,
Author = {Jaehyeon Kim and Sungwon Kim and Jungil Kong and Sungroh Yoon},
Title = {Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search},
Year = {2020},
Eprint = {arXiv:2005.11129},
}
Project details
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
aligner-pytorch-0.0.10.tar.gz
(105.8 kB
view details)
Built Distribution
File details
Details for the file aligner-pytorch-0.0.10.tar.gz
.
File metadata
- Download URL: aligner-pytorch-0.0.10.tar.gz
- Upload date:
- Size: 105.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f354a60bc99704f330e534047935696ca7231d3ca4314b91cffac57634477b6 |
|
MD5 | 62fa7ff6c15ec2a658ae6f911a389ead |
|
BLAKE2b-256 | 4b2374f49652b93ab773e40fe096443a7b3846066c32b15170b197d6680f6965 |
File details
Details for the file aligner_pytorch-0.0.10-cp39-cp39-macosx_12_0_arm64.whl
.
File metadata
- Download URL: aligner_pytorch-0.0.10-cp39-cp39-macosx_12_0_arm64.whl
- Upload date:
- Size: 58.8 kB
- Tags: CPython 3.9, macOS 12.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1e1c63e67f36ecd69fdae5a60eafcdd3d6e069fb4b1e73d654f8928603f79e74 |
|
MD5 | 80bfabfdf3cda0677340636adc42778c |
|
BLAKE2b-256 | 6acb9ed275eb26698b09b36f1803684ba5b9ab434836cb567ab4614b5e4b1601 |