Fix word confidence return

[nithinraok]

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What does this PR do ?

Fixes #15224

Collection: ASR

Changelog

• After chunking and while merging confidences are ignored

Usage

from nemo.collections.asr.models import EncDecMultiTaskModel
from omegaconf import OmegaConf
from nemo.collections.asr.parts.submodules.multitask_greedy_decoding import AEDGreedyInferConfig
from nemo.collections.asr.parts.utils.asr_confidence_utils import ConfidenceConfig


model = EncDecMultiTaskModel.from_pretrained("nvidia/canary-1b-v2")

decode_cfg = OmegaConf.create({
    'strategy': 'greedy',
    'greedy': AEDGreedyInferConfig(preserve_token_confidence=True),
    'confidence_cfg': ConfidenceConfig(preserve_token_confidence=True, preserve_word_confidence=True)
})
model.change_decoding_strategy(decode_cfg)

audio_path = <path_to_audio_file>

hypotheses = model.transcribe(
    audio=audio_path,
    batch_size=1,
    return_hypotheses=True,
)

print(hypotheses)


# len of y sequence
print(f"len of y sequence: {len(hypotheses[0].y_sequence)}")

# len of token confidence
print(f"len of token confidence: {len(hypotheses[0].token_confidence)}")

# len of word confidence
print(f"len of word confidence: {len(hypotheses[0].word_confidence)}")


# Check for CTC BPE Model 
from nemo.collections.asr.parts.submodules.ctc_greedy_decoding import GreedyCTCInferConfig
from nemo.collections.asr.models import ASRModel
model = ASRModel.from_pretrained("nvidia/parakeet-ctc-0.6b")

decode_cfg = OmegaConf.create({
    'strategy': 'greedy',
    'greedy': GreedyCTCInferConfig(preserve_frame_confidence=True),
    'confidence_cfg': ConfidenceConfig(preserve_token_confidence=True, preserve_word_confidence=True)
})
model.change_decoding_strategy(decode_cfg)

hypotheses = model.transcribe(
    audio=audio_path,
    batch_size=1,
    return_hypotheses=True,
)

print(hypotheses)

# len of y sequence
print(f"len of y sequence: {len(hypotheses[0].y_sequence)}")

# len of token confidence
print(f"len of token confidence: {len(hypotheses[0].token_confidence)}")

# len of word confidence
print(f"len of word confidence: {len(hypotheses[0].word_confidence)}")

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[github-actions]

[🤖]: Hi @nithinraok 👋,

We wanted to let you know that a CICD pipeline for this PR just finished successfully.

So it might be time to merge this PR or get some approvals.

//cc @chtruong814 @ko3n1g @pablo-garay @thomasdhc