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minor fixes, update batch_size
Signed-off-by: Kunal Dhawan <[email protected]>
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nemo_asr/run_canary.sh

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export PYTHONPATH="..":$PYTHONPATH
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MODEL_IDs=("nvidia/canary-1b-flash") # options: "nvidia/canary-1b" "nvidia/canary-1b-flash" "nvidia/canary-180m-flash"
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BATCH_SIZE=96
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BATCH_SIZE=128
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DEVICE_ID=0
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num_models=${#MODEL_IDs[@]}

nemo_asr/run_eval.py

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@@ -53,7 +53,7 @@ def download_audio_files(batch):
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for id, sample in zip(batch["id"], batch["audio"]):
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# frist step added here to make ID and wav filenames unique
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# first step added here to make ID and wav filenames unique
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# several datasets like earnings22 have a hierarchical structure
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# for eg. earnings22/test/4432298/281.wav, earnings22/test/4450488/281.wav
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# lhotse uses the filename (281.wav) here as unique ID to create and name cuts

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