A module for ensembling text hypotheses from multiple Automatic Speech Recognition (ASR) systems. Using Levenshtein distance-based algorithms (consensus search, set median), this tool allows you to merge predictions from several models into a single, highly accurate final text.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
asr_ensemble-1.0.1.tar.gz
(30.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file asr_ensemble-1.0.1.tar.gz.
File metadata
- Download URL: asr_ensemble-1.0.1.tar.gz
- Upload date:
- Size: 30.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4c94e3a5a80fbcb49f10edf12140f223469ab63f265c097e41f61c6602f54ddd
|
|
| MD5 |
f4c254e4743ea0fdc86e401c2b237221
|
|
| BLAKE2b-256 |
2adafa0a2257a6a12aa852d7737b8284239165d67a853dbc2b0c121d43086253
|
File details
Details for the file asr_ensemble-1.0.1-py3-none-any.whl.
File metadata
- Download URL: asr_ensemble-1.0.1-py3-none-any.whl
- Upload date:
- Size: 29.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d2a4b525ec113217c15d8411fdd18289e3580b37c779f709486cdb91ddb982eb
|
|
| MD5 |
51285dbbf2ede09acbbff09b7fc8b669
|
|
| BLAKE2b-256 |
ccef927275a3c88ae700f071c30266ce6306c71f5654ff1f3ac43c9e69b8b899
|