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| 1 | +#!/bin/bash |
| 2 | + |
| 3 | +export PYTHONPATH="..":$PYTHONPATH |
| 4 | + |
| 5 | +export OPENAI_API_KEY="" |
| 6 | + |
| 7 | +MODEL_IDs=( |
| 8 | + "gpt-4o-transcribe" |
| 9 | + "gpt-4o-mini-transcribe" |
| 10 | +) |
| 11 | + |
| 12 | +num_models=${#MODEL_IDs[@]} |
| 13 | + |
| 14 | +for (( i=0; i<${num_models}; i++ )); |
| 15 | +do |
| 16 | + MODEL_ID=${MODEL_IDs[$i]} |
| 17 | + python run_eval.py \ |
| 18 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 19 | + --dataset="ami" \ |
| 20 | + --split="test" \ |
| 21 | + --model_name ${MODEL_ID} \ |
| 22 | + |
| 23 | + python run_eval.py \ |
| 24 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 25 | + --dataset="earnings22" \ |
| 26 | + --split="test" \ |
| 27 | + --model_name ${MODEL_ID} \ |
| 28 | + |
| 29 | + python run_eval.py \ |
| 30 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 31 | + --dataset="gigaspeech" \ |
| 32 | + --split="test" \ |
| 33 | + --model_name ${MODEL_ID} \ |
| 34 | + |
| 35 | + python run_eval.py \ |
| 36 | + --dataset_path "hf-audio/esb-datasets-test-only-sorted" \ |
| 37 | + --dataset "librispeech" \ |
| 38 | + --split "test.clean" \ |
| 39 | + --model_name ${MODEL_ID} \ |
| 40 | + |
| 41 | + python run_eval.py \ |
| 42 | + --dataset_path "hf-audio/esb-datasets-test-only-sorted" \ |
| 43 | + --dataset "librispeech" \ |
| 44 | + --split "test.other" \ |
| 45 | + --model_name ${MODEL_ID} \ |
| 46 | + |
| 47 | + python run_eval.py \ |
| 48 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 49 | + --dataset="spgispeech" \ |
| 50 | + --split="test" \ |
| 51 | + --model_name ${MODEL_ID} \ |
| 52 | + |
| 53 | + python run_eval.py \ |
| 54 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 55 | + --dataset="tedlium" \ |
| 56 | + --split="test" \ |
| 57 | + --model_name ${MODEL_ID} \ |
| 58 | + |
| 59 | + python run_eval.py \ |
| 60 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 61 | + --dataset="voxpopuli" \ |
| 62 | + --split="test" \ |
| 63 | + --model_name ${MODEL_ID} \ |
| 64 | + |
| 65 | + # Evaluate results |
| 66 | + RUNDIR=`pwd` && \ |
| 67 | + cd ../normalizer && \ |
| 68 | + python -c "import eval_utils; eval_utils.score_results('${RUNDIR}/results', '${MODEL_ID}')" && \ |
| 69 | + cd $RUNDIR |
| 70 | + |
| 71 | +done |
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