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.
Metadata
Release files for asr-ensemble 1.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| asr_ensemble-1.0.2.tar.gz | 30.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| asr_ensemble-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 60.7 kB
Release files / asr_ensemble-1.0.2.tar.gz
| Download URL | asr_ensemble-1.0.2.tar.gz |
|---|---|
| Size | 30.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/6.2.0 CPython/3.10.14
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Release files / asr_ensemble-1.0.2-py3-none-any.whl
| Download URL | asr_ensemble-1.0.2-py3-none-any.whl |
|---|---|
| Size | 30.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
320e5151494bcb0dad2a0170e802c4863c8f6b1bea71c47188f0a8d86d22d77a
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BLAKE2b-256 checksum How to use checksums |
5718d4f9405f8f9e2ea0bb94c0f4bce65d0dd1d170c6c1986180076518019fc9
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.14
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