Speech Metrics
This package includes the common metrics used in speech processing, especially compatible with SUPERB: Speech processing Universal PERformance Benchmark. The motivation of this package is to make metric calculation disentangled from S3PRL, whose codebase and package are both too heavyweight for metric calculation. Also, some metrics in S3PRL require traditional speech processing file format (e.g. RTTM and DER) which is less pythonic and user-friendly nowadays. As a result, this package aims to extract the core logic from the existing codebases and provide a standalone python package with minimal dependencies, so that it can be used everywhere easily.
Supported Metrics
- WER
- CER
- PER
- DER
- PESQ
- STOI
- SISDRi
- SacreBLEU
- Slot Type F1
- Slot Value CER
Metadata
Release files for speech-metrics 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| speech_metrics-0.2.2.tar.gz | 35.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| speech_metrics-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 77.3 kB
Release files / speech_metrics-0.2.2.tar.gz
| Download URL | speech_metrics-0.2.2.tar.gz |
|---|---|
| Size | 35.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / speech_metrics-0.2.2-py3-none-any.whl
| Download URL | speech_metrics-0.2.2-py3-none-any.whl |
|---|---|
| Size | 41.5 kB |
| Tags | 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? |
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twine/5.0.0 CPython/3.8.12
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