pith:OQWRAWNE
Contextual Biasing for Streaming ASR via CTC-based Word Spotting
A streaming extension of CTC-based word spotting enables real-time contextual biasing in ASR by tracking keyword paths across chunks and committing only to stable segments.
arxiv:2605.18222 v1 · 2026-05-18 · eess.AS
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\pithnumber{OQWRAWNEV3JYCTH5XTJR3KVMZ2}
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Record completeness
Claims
Experimental results show that our method reduces overall WER and effectively improves keyword F-score, demonstrating its effectiveness for real-time ASR applications.
The incremental commitment mechanism successfully identifies segments guaranteed not to be affected by future audio while deferring uncertain regions, enabling both low latency and stable output without harming overall accuracy.
Introduces a streaming CTC-WS method with stateful token passing and incremental commitment for low-latency contextual biasing in ASR, claiming reduced WER and improved keyword F-score.
References
Receipt and verification
| First computed | 2026-05-20T00:05:51.150826Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
742d1059a4aed3814cfdbcd31daaaccebd9aa71fa82769506ee6a5c34789be71
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OQWRAWNEV3JYCTH5XTJR3KVMZ2 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 742d1059a4aed3814cfdbcd31daaaccebd9aa71fa82769506ee6a5c34789be71
Canonical record JSON
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