|
3 | 3 | export PYTHONPATH="..":$PYTHONPATH |
4 | 4 |
|
5 | 5 | SOURCE="speechbrain/asr-wav2vec2-librispeech" |
| 6 | +BATCH_SIZE=32 |
6 | 7 |
|
7 | 8 | python run_eval.py \ |
8 | | - --source=$SOURCE \ |
9 | | - --speechbrain_pretrained_class_name="EncoderASR" \ |
10 | | - --dataset_path="librispeech_asr" \ |
11 | | - --dataset="clean" \ |
12 | | - --split="test" \ |
13 | | - --device=0 \ |
14 | | - --batch_size=32 \ |
15 | | - --max_eval_samples=-1 |
16 | | - |
17 | | -python run_eval.py \ |
18 | | - --source=$SOURCE \ |
19 | | - --speechbrain_pretrained_class_name="EncoderASR" \ |
20 | | - --dataset_path="librispeech_asr" \ |
21 | | - --dataset="other" \ |
22 | | - --split="test" \ |
23 | | - --device=0 \ |
24 | | - --batch_size=32 \ |
25 | | - --max_eval_samples=-1 |
| 9 | + --source=${SOURCE} \ |
| 10 | + --speechbrain_pretrained_class_name="EncoderASR" \ |
| 11 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 12 | + --dataset="ami" \ |
| 13 | + --split="test" \ |
| 14 | + --device=0 \ |
| 15 | + --batch_size=${BATCH_SIZE} \ |
| 16 | + --max_eval_samples=-1 |
| 17 | + |
| 18 | +python run_eval.py \ |
| 19 | + --source=${SOURCE} \ |
| 20 | + --speechbrain_pretrained_class_name="EncoderASR" \ |
| 21 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 22 | + --dataset="earnings22" \ |
| 23 | + --split="test" \ |
| 24 | + --device=0 \ |
| 25 | + --batch_size=${BATCH_SIZE} \ |
| 26 | + --max_eval_samples=-1 |
| 27 | + |
| 28 | +python run_eval.py \ |
| 29 | + --source=${SOURCE} \ |
| 30 | + --speechbrain_pretrained_class_name="EncoderASR" \ |
| 31 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 32 | + --dataset="gigaspeech" \ |
| 33 | + --split="test" \ |
| 34 | + --device=0 \ |
| 35 | + --batch_size=${BATCH_SIZE} \ |
| 36 | + --max_eval_samples=-1 |
| 37 | + |
| 38 | +python run_eval.py \ |
| 39 | + --source=${SOURCE} \ |
| 40 | + --speechbrain_pretrained_class_name="EncoderASR" \ |
| 41 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 42 | + --dataset="librispeech" \ |
| 43 | + --split="test.clean" \ |
| 44 | + --device=0 \ |
| 45 | + --batch_size=${BATCH_SIZE} \ |
| 46 | + --max_eval_samples=-1 |
| 47 | + |
| 48 | +python run_eval.py \ |
| 49 | + --source=${SOURCE} \ |
| 50 | + --speechbrain_pretrained_class_name="EncoderASR" \ |
| 51 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 52 | + --dataset="librispeech" \ |
| 53 | + --split="test.other" \ |
| 54 | + --device=0 \ |
| 55 | + --batch_size=${BATCH_SIZE} \ |
| 56 | + --max_eval_samples=-1 |
| 57 | + |
| 58 | +python run_eval.py \ |
| 59 | + --source=${SOURCE} \ |
| 60 | + --speechbrain_pretrained_class_name="EncoderASR" \ |
| 61 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 62 | + --dataset="spgispeech" \ |
| 63 | + --split="test" \ |
| 64 | + --device=0 \ |
| 65 | + --batch_size=${BATCH_SIZE} \ |
| 66 | + --max_eval_samples=-1 |
| 67 | + |
| 68 | +python run_eval.py \ |
| 69 | + --source=${SOURCE} \ |
| 70 | + --speechbrain_pretrained_class_name="EncoderASR" \ |
| 71 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 72 | + --dataset="tedlium" \ |
| 73 | + --split="test" \ |
| 74 | + --device=0 \ |
| 75 | + --batch_size=${BATCH_SIZE} \ |
| 76 | + --max_eval_samples=-1 |
| 77 | + |
| 78 | +python run_eval.py \ |
| 79 | + --source=${SOURCE} \ |
| 80 | + --speechbrain_pretrained_class_name="EncoderASR" \ |
| 81 | + --dataset_path="hf-audio/esb-datasets-test-only-sorted" \ |
| 82 | + --dataset="voxpopuli" \ |
| 83 | + --split="test" \ |
| 84 | + --device=0 \ |
| 85 | + --batch_size=${BATCH_SIZE} \ |
| 86 | + --max_eval_samples=-1 |
26 | 87 |
|
27 | 88 | # Evaluate results |
28 | 89 | RUNDIR=`pwd` && \ |
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