Document how to use open asr leaderboard to benchmark ASR model accuracy#4355
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michalkulakowski wants to merge 3 commits into
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Document how to use open asr leaderboard to benchmark ASR model accuracy#4355michalkulakowski wants to merge 3 commits into
michalkulakowski wants to merge 3 commits into
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Pull request overview
This PR aims to document how to benchmark ASR model transcription accuracy using the Open ASR Leaderboard tooling within the OVMS audio demo documentation, but it also modifies build dependency sourcing for OpenVINO GenAI.
Changes:
- Added a new “Evaluate transcription accuracy with Open ASR Leaderboard” section to
demos/audio/README.md. - Updated
versions.mkto point OpenVINO GenAI source checkout to a different commit and a different GitHub organization.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
versions.mk |
Changes the pinned OpenVINO GenAI commit and switches the source org used by build scripts. |
demos/audio/README.md |
Adds step-by-step instructions for evaluating WER/CER with Open ASR Leaderboard. |
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| OV_GENAI_BRANCH ?= 27b480d39731996f68ed8cf7c54a5c0dd6122ba6 | ||
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| # Source repository organizations | ||
| OV_SOURCE_ORG ?= openvinotoolkit | ||
| OV_GENAI_ORG ?= openvinotoolkit | ||
| OV_GENAI_ORG ?= as-suvorov |
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| 2. Apply OVMS API compatibility patch: | ||
| ```bash | ||
| git apply ../external/open_asr_leaderboard.patch | ||
| ``` | ||
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| If you cloned the leaderboard repository in a different location, adjust the patch path accordingly. |
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| @@ -2,7 +2,7 @@ | ||
| from io import BytesIO | ||
| from typing import Optional | ||
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| -import openai | ||
| +from openai import OpenAI | ||
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| from . import APIProvider, register |
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| @@ -17,10 +17,11 @@ def transcribe( | ||
| use_url: bool = False, | ||
| language: str = "en", | ||
| ) -> str: | ||
| + client = OpenAI() | ||
| if use_url: | ||
| response = requests.get(sample["row"]["audio"][0]["src"]) | ||
| audio_data = BytesIO(response.content) | ||
| - response = openai.Audio.transcribe( | ||
| + response = client.audio.transcriptions.create( | ||
| model=model_variant, | ||
| file=audio_data, | ||
| response_format="text", | ||
| @@ -29,7 +30,7 @@ def transcribe( | ||
| ) | ||
| else: | ||
| with open(audio_file_path, "rb") as audio_file: | ||
| - response = openai.Audio.transcribe( | ||
| + response = client.audio.transcriptions.create( | ||
| model=model_variant, |
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July 3, 2026 11:46
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