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wavrail

Streaming speech recognition toolkit: log-mel features, CTC greedy and prefix-beam decoding, transducer-style frame-synchronous emission, forced alignment, Chinese/English CER-WER metrics, and a chunked streaming pipeline with latency accounting. NumPy core with a CPU-only torch extra; trainable demos on synthetic audio, fully offline.

Details

External ID
1389167169
Source
GITHUB
Company
—
Product
wavrail
Website domain
github.com
Launched
Sept. 26, 2026
Cohort
—
Upvotes
31
Upvotes percentile
0.7332820906994619
Tags
asr, cer, ctc, forced-alignment, log-mel, numpy, python, speech-recognition, streaming, transducer, wer
Fetched at
Sept. 30, 2026, 5:02 p.m.
Updated at
Sept. 30, 2026, 5:02 p.m.

Enrichment

Theme
voice AI agents and infrastructure
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
streaming speech recognition toolkit for developers
Manually corrected
False

Competitors

Other products that read as similar to this one — 440 launches clear the similarity bar, closest 8 shown.

Attention rank: #120 of 441 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 327 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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