ASR evaluator #5728

fayejf · 2023-01-03T21:23:31Z

What does this PR do ?

A tool to thoroughly evaluate an ASR model.

Collection: ASR

Changelog

Simple step to evaluate a model in all three modes currently supported by NeMo: offline, chunked, and offline_by_chunked.
On-the-fly data augmentation (silence, noise, etc.,) for ASR robustness evaluation.
Investigate the model's performance by detailed insertion, deletion, and substitution error rates for each and all samples.
Evaluate models' reliability on different target groups such as gender, and audio length if metadata is presented.

Usage

python asr_evaluator.py \
engine.pretrained_name="stt_en_conformer_transducer_large" \
engine.inference_mode.mode="offline" \
engine.test_ds.augmentor.noise.manifest_path=<manifest file for noise data>

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PR Type:

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Additional Information

Note because the PR is getting bigger, on-the-fly augmentation for buffered inference mode would be included in another PR soon.

Signed-off-by: fayejf <fayejf07@gmail.com>

Signed-off-by: fayejf <36722593+fayejf@users.noreply.github.com>

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nemo/collections/asr/parts/utils/eval_utils.py

tools/speech_evaluator/asr_evaluator.py

nemo/collections/asr/parts/utils/transcribe_utils.py

examples/asr/transcribe_speech.py

Signed-off-by: fayejf <fayejf07@gmail.com>

tools/speech_evaluator/asr_evaluator.py

nemo/collections/asr/parts/utils/eval_utils.py

Signed-off-by: fayejf <fayejf07@gmail.com>

nemo/collections/asr/parts/utils/eval_utils.py

Signed-off-by: fayejf <fayejf07@gmail.com>

stevehuang52

Good work, just a few small comments. We should make sure that scripts inside nemo.collection do not depend on scripts in examples/ and functions in NeMo be language-agnostic.

stevehuang52 · 2023-01-08T15:43:48Z

nemo/collections/asr/models/ctc_models.py

@@ -182,6 +186,9 @@ def transcribe(
                    'channel_selector': channel_selector,
                }

+                if augmentor_config:
+                    config['augmentor_config'] = augmentor_config


'augmentor_config' can be simplified to just 'augmentor', since it's part of the config variable we can drop the _config suffix.

make sense. updated.

stevehuang52 · 2023-01-08T15:45:41Z

nemo/collections/asr/parts/utils/eval_utils.py

+    if (cfg.model_path and cfg.pretrained_name) or (not cfg.model_path and not cfg.pretrained_name):
+        raise ValueError("Please specify either cfg.model_path or cfg.pretrained_name!")
+
+    if cfg.inference_mode.mode == "offline":


cfg.inference_mode.mode seems a bit redundant, can we change to just cfg.inference.mode?

stevehuang52 · 2023-01-09T14:34:05Z

nemo/collections/asr/parts/utils/eval_utils.py

+        f"model_stride={cfg.inference_mode.model_stride} ",
+        shell=True,
+        check=True,
+    )


It's unsafe for things inside NeMo collections to depend on NeMo example scripts, since examples may not be installed or can be lost/modified easily. If this function has to use something from the example folder, it's better to move the whole function to an example scripts other than putting it in NeMo

Good points! Moved eval_utils.py to utils.py in tools/asr_evaluator

stevehuang52 · 2023-01-09T14:37:26Z

nemo/collections/asr/parts/utils/eval_utils.py

+        f"eval_config_yaml={temp_eval_config_yaml_file} ",
+        shell=True,
+        check=True,
+    )


Same as before, It's unsafe for things inside NeMo collections to depend on NeMo example scripts

stevehuang52 · 2023-01-09T14:54:30Z

nemo/collections/asr/parts/utils/eval_utils.py

+            cfg.output_filename = model_name + "-" + dataset_name + "-" + mode_name + ".json"
+
+    temp_eval_config_yaml_file = "temp_eval_config.yaml"
+    with open(temp_eval_config_yaml_file, "w") as f:


Consider (but not mandatory) using tempfile.NamedTemporaryFile, which automatically manages temp files:

import tempfile with tempfile.NamedTemporaryFile(mode='w', encoding='utf-8') as f: OmegaConf.save(cfg, f) f.seek(0) # reset file pointer subprocess.run( xxxxxxx eval_config_yaml=f.name )

good idea! updated

stevehuang52 · 2023-01-09T15:42:04Z

nemo/collections/asr/parts/utils/eval_utils.py

+    return cfg, total_res
+
+
+def target_metadata_wer(manifest: str, target: str, meta_cfg: DictConfig, eval_metric: str = "wer",) -> dict:


Maybe cal_target_metadata_wer?

stevehuang52 · 2023-01-09T15:45:14Z

nemo/collections/asr/parts/utils/eval_utils.py

+
+                words = sample["words"]
+                wer_each_class[target_class]["words"] += words
+                wer_each_class[target_class]["errors"] += words * sample[eval_metric]


Better to check whether the input eval_metric is supported, and raise exceptions if it's not valid

stevehuang52 · 2023-01-09T15:46:35Z

nemo/collections/asr/parts/utils/eval_utils.py

+        logging.info(f"metadata '{target}' does not present in manifest. Skipping! ")
+        return None
+
+    values = ['samples', 'words', 'errors', 'inss', 'dels', 'subs']


Please add some doctrings on each value to explain what each one means.

updated in function docstring

stevehuang52 · 2023-01-09T16:04:56Z

tools/asr_evaluator/asr_evaluator.py

+    logging.info(f'Hydra config: {OmegaConf.to_yaml(cfg)}')
+
+    # Set and save random seed and git hash for reproducibility
+    random.seed(cfg.env.random_seed)


What about numpy and pytorch random seeds?

updated. Need to fix rng in perturb in another PR.

stevehuang52 · 2023-01-09T16:25:27Z

nemo/collections/asr/parts/utils/eval_utils.py

+            )
+        cfg = run_chunked_inference(cfg)
+
+    elif cfg.inference_mode.mode == "offline_by_chunked":


What's the fundamental difference between "chunked" and "offline_by_chunked"? It seems that the only difference is only that "offline_by_chunked" will set default parameters while "chunked" will not. Could you please add more docstrings to explain the different use cases?

what you said is totally correct. Added more explanation in docstring.

Signed-off-by: fayejf <fayejf07@gmail.com>

tools/asr_evaluator/asr_evaluator.py

tools/asr_evaluator/utils.py

Signed-off-by: fayejf <fayejf07@gmail.com>

stevehuang52 · 2023-01-10T21:56:08Z

tools/asr_evaluator/README.md

+- **ENGINE**. To conduct ASR inference.
+- **ANALYST**. To evaluate model performance based on predictions. 
+
+In Analyst, you can evaluate on all metadata if it presents in manifest. For exmaple, you can evaluate the peformance of model based on duration of each sample, such as how's the model peforms on samples smaller than 5s and longer than 5s by [[0,5][5,100000]] and get wer/cer of each slot. Or how's the model performs on postive (happy, laugh) or neural (neural) or negative mood (sad) as below. And if you set save_wer_per_class=True, it will calculate wer for all (i.e. above 5 classes + cry) classes presented in the data. 


I think you mean "neutral"? The meanings for metadata needs more explanation. For example, we can say that, with the following config, we can calculate WERs for audios in different interval groups, where each group (in seconds) is defined by [[0,2],[2,5],[5,10],[10,20],[20,100000]]. Also, we calculate the WERs for three groups of emotions, where each group is defined by [['happy','laugh'],['neural'],['sad']] (words in the same group will be treated as the same).

stevehuang52 · 2023-01-10T21:56:25Z

tools/asr_evaluator/README.md

+
+        emotion: 
+            enable: True
+            slot: [['happy','laugh'],['neural'],['sad']] # we could have 'cry' in data but not in slot we focus on.


I think you mean "neutral"?

Signed-off-by: fayejf <fayejf07@gmail.com>

stevehuang52

LGTM.

* backbone Signed-off-by: fayejf <fayejf07@gmail.com> * engineer and analyzer Signed-off-by: fayejf <fayejf07@gmail.com> * offline_by_chunked Signed-off-by: fayejf <fayejf07@gmail.com> * test_ds wip Signed-off-by: fayejf <fayejf07@gmail.com> * temp remove inference Signed-off-by: fayejf <fayejf07@gmail.com> * mandarin yaml Signed-off-by: fayejf <fayejf07@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * augmentor and a few updates Signed-off-by: fayejf <fayejf07@gmail.com> * address alerts and revert unnecessary changes Signed-off-by: fayejf <fayejf07@gmail.com> * Add readme Signed-off-by: fayejf <fayejf07@gmail.com> * rename Signed-off-by: fayejf <fayejf07@gmail.com> * typo fix Signed-off-by: fayejf <fayejf07@gmail.com> * small fix Signed-off-by: fayejf <fayejf07@gmail.com> * add missing header Signed-off-by: fayejf <fayejf07@gmail.com> * rename augmentor_config to augmentor Signed-off-by: fayejf <fayejf07@gmail.com> * raname inference_mode to inference Signed-off-by: fayejf <fayejf07@gmail.com> * move utils.py Signed-off-by: fayejf <fayejf07@gmail.com> * update temp file Signed-off-by: fayejf <fayejf07@gmail.com> * make wer cer clear Signed-off-by: fayejf <fayejf07@gmail.com> * seed_everything Signed-off-by: fayejf <fayejf07@gmail.com> * fix missing rn augmentor_config in rnnt Signed-off-by: fayejf <fayejf07@gmail.com> * fix rnnt transcribe Signed-off-by: fayejf <fayejf07@gmail.com> * add more docstring and style fix Signed-off-by: fayejf <fayejf07@gmail.com> * address codeQL Signed-off-by: fayejf <fayejf07@gmail.com> * reflect comments Signed-off-by: fayejf <fayejf07@gmail.com> * update readme Signed-off-by: fayejf <fayejf07@gmail.com> * clearer Signed-off-by: fayejf <fayejf07@gmail.com> Signed-off-by: fayejf <fayejf07@gmail.com> Signed-off-by: fayejf <36722593+fayejf@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com> Signed-off-by: Elena Rastorgueva <erastorgueva@nvidia.com>

* backbone Signed-off-by: fayejf <fayejf07@gmail.com> * engineer and analyzer Signed-off-by: fayejf <fayejf07@gmail.com> * offline_by_chunked Signed-off-by: fayejf <fayejf07@gmail.com> * test_ds wip Signed-off-by: fayejf <fayejf07@gmail.com> * temp remove inference Signed-off-by: fayejf <fayejf07@gmail.com> * mandarin yaml Signed-off-by: fayejf <fayejf07@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * augmentor and a few updates Signed-off-by: fayejf <fayejf07@gmail.com> * address alerts and revert unnecessary changes Signed-off-by: fayejf <fayejf07@gmail.com> * Add readme Signed-off-by: fayejf <fayejf07@gmail.com> * rename Signed-off-by: fayejf <fayejf07@gmail.com> * typo fix Signed-off-by: fayejf <fayejf07@gmail.com> * small fix Signed-off-by: fayejf <fayejf07@gmail.com> * add missing header Signed-off-by: fayejf <fayejf07@gmail.com> * rename augmentor_config to augmentor Signed-off-by: fayejf <fayejf07@gmail.com> * raname inference_mode to inference Signed-off-by: fayejf <fayejf07@gmail.com> * move utils.py Signed-off-by: fayejf <fayejf07@gmail.com> * update temp file Signed-off-by: fayejf <fayejf07@gmail.com> * make wer cer clear Signed-off-by: fayejf <fayejf07@gmail.com> * seed_everything Signed-off-by: fayejf <fayejf07@gmail.com> * fix missing rn augmentor_config in rnnt Signed-off-by: fayejf <fayejf07@gmail.com> * fix rnnt transcribe Signed-off-by: fayejf <fayejf07@gmail.com> * add more docstring and style fix Signed-off-by: fayejf <fayejf07@gmail.com> * address codeQL Signed-off-by: fayejf <fayejf07@gmail.com> * reflect comments Signed-off-by: fayejf <fayejf07@gmail.com> * update readme Signed-off-by: fayejf <fayejf07@gmail.com> * clearer Signed-off-by: fayejf <fayejf07@gmail.com> Signed-off-by: fayejf <fayejf07@gmail.com> Signed-off-by: fayejf <36722593+fayejf@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: He Huang (Steve) <105218074+stevehuang52@users.noreply.github.com>

fayejf added 6 commits November 28, 2022 17:27

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		return cfg, total_res


		def target_metadata_wer(manifest: str, target: str, meta_cfg: DictConfig, eval_metric: str = "wer",) -> dict:

ASR evaluator #5728

ASR evaluator #5728

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fayejf commented Jan 3, 2023 • edited Loading

What does this PR do ?

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