* tests : add a new benchmark test for long-form audio
Based on "Earnings-21" corpus by Del Rio et al.
Earnings-21: A Practical Benchmark for ASR in the Wild (2021)
https://arxiv.org/abs/2104.11348
This dataset contains 39 hours of long-form speech, sourced from public
earning calls. Each recording contains roughly 50 minutes of English
dialogues between multiple speakers (2-20 persons).
This benchmark suite should allow us to evaluate the performance of
whisper.cpp on long-form audio data.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
* tests : apply PR feedback to 'earnings21/README.md'
Based on feedback from Daniel Bevenius.
- Simplify how to download & prepare a Silero VAD model.
- Fix typo: inferece -> inference
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
* tests : avoid crashing on non-UTF-8 characters
Based on feedback from Daniel Bevenius.
Add 'errors' parameter to open() in order to avoid unhandled
exception on invalid UTF-8 bytes.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
* tests : try to interpret the hypothesis as Windows-1252
Based on the discussion in PR#3185.
Evidently Whisper.cpp can represent a quotation mark as '0x93', which
implifies Windows-1252 (Microsoft's ASCII excention), and cannot be
decoded by UTF-8.
Add an explicit decoding loop to address the issue.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
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Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
FFmpeg introduced a new channel layout API that uses `AVChannelLayout`
interface in v6.0. It subsequently dropped the old bitmask-based API
in v7.0.
This updates decode_audio() to support the new channel layout API,
so that we can compile `whisper-cli` and `whisper-server` with FFmpeg
v7.0 or later.
Tested on on Ubuntu 24.10 with FFmpeg v7.0.2.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
FFmpeg integration was introduced in 1b51fdf by William Tambellini,
but not mentioned in the main documentation.
Add a short guide on how to enable the feature. Confirmed to work
on both Ubuntu 24.04 and Fedora 39.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
* tests : add script to benchmark whisper.cpp on LibriSpeech corpus
LibriSpeech is a widely-used benchmark dataset for training and
testing speech recognition models.
This adds a set of scripts to measure the recognition accuracy of
whisper.cpp models, following the common benchmark standards.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
* Document how to prepare `whisper-cli` and model files
Feedback from Daniel Bevenius.
This adds a short code example how to prepare the `whisper-cli`
command, to make the initial setup step a little bit clearer.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
* tests : Simplify how to set up Python environment
Based on a feedback from Georgi Gerganov.
Instead of setting up a virtual environment in Makefile, let users
set up the Python environment. This is better since users may have
their own preferred workflow/toolkit.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
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Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
The benchmark script 'scripts/bench-all.sh' assumes that the 11th
field of the output line is a timestamp. This assumption does not
hold when the target model takes a bit longer to process.
Fix this issue by introducing an explicit whitespace to the output
lines of `whisper_print_timings()`.
Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
