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malayalam-asr-benchmarking
Readme
Note
A study to benchmark ASRs in Malayalam. Till now the project has benchmark based on Malayalam ASR models based in Whisper.
Till now we have mainly benchmarked on two datasets:
I have now done benchmarking on Mozilla’s Common Voice 11 Malayalam subset. The benchmarking results can be found in the below dataset.
I have now benchmarked on SMC’s Malayalam Speech corpus dataset. The benchmarking results can be found in the below dataset.
pip install malayalam_asr_benchmarking
or from github repository
# Ensure git is installed, else install it. Eg: In ubuntu via apt install git
pip install git+https://github.com/kurianbenoy/malayalam_asr_benchmarking.git
Or locally
# Ensure git is installed, else install it. Eg: In ubuntu via apt install git
git clone https://github.com/kurianbenoy/malayalam_asr_benchmarking.git
cd malayalam_asr_benchmarking
pip install -e .
I am developing this project with nbdev. Please take some time reading up on nbdev … how it works, directives, etc… by checking out the walk-thrus and tutorials on the nbdev website
nbdev_install_quarto
Other options are mentioned in getting started to quarto
nbdev_install_hooks
pip install -e '.[dev]'
from malayalam_asr_benchmarking.commonvoice import evaluate_whisper_model_common_voice
werlist = []
cerlist = []
modelsizelist = []
timelist = []
evaluate_whisper_model_common_voice("parambharat/whisper-tiny-ml", werlist, cerlist, modelsizelist, timelist)
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AssertionError: Torch not compiled with CUDA enabled
from malayalam_asr_benchmarking.commonvoice import evaluate_faster_whisper_model_common_voice
werlist = []
cerlist = []
modelsizelist = []
timelist = []
evaluate_faster_whisper_model_common_voice("parambharat/whisper-tiny-ml", werlist, cerlist, modelsizelist, timelist)
FAQs
A study to benchmark whisper based ASRs in Malayalam
We found that malayalam-asr-benchmarking demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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