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https://github.com/ggerganov/whisper.cpp.git
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448f3d3b93
* 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> --------- Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net>
16 lines
252 B
Makefile
16 lines
252 B
Makefile
TAR_URL = https://www.openslr.org/resources/12/test-clean.tar.gz
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all: eval
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eval:
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$(MAKE) -f eval.mk
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clean:
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$(MAKE) -f eval.mk clean
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get-audio:
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wget -c $(TAR_URL)
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tar -xf test-clean.tar.gz
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.PHONY: all eval clean setup-venv clean-venv get-audio
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