Head to head · 100 clips

Cleanvoice Studio Sound vs Descript Studio Sound

Both products use the name Studio Sound: this page compares Cleanvoice Studio Sound 4.1 with Descript Studio Sound. On 100 noisy clips from Dolby's public UNIVERSE set, Cleanvoice made 15.5% word errors against 25.4% for Descript, and changed 11.2 words per 100 against 16.1. Both reached 17.3 kHz of bandwidth, the widest of the tools we tested.

Last updated: 2 November 2026 · 100 clips from Dolby’s public UNIVERSE set · Full benchmark

  • Word error rate (lower is better)

    15.5%

    Cleanvoice, vs 25.4% for Descript

  • Changed words (lower is better)

    11.2%

    Cleanvoice, vs 16.1% for Descript

  • Speech quality (SCOREQ) (higher is better)

    4.54

    Cleanvoice, vs 3.99 for Descript

Head to head on every metric

Descript Studio Sound against Cleanvoice Studio Sound 4.1, with the unprocessed input for context. Same 100 clips, run on 1 November 2026: Cleanvoice processed each clip separately; the other tools processed the 100 clips joined into one file. Method and all eight tools.

Cleanvoice Studio Sound 4.1 vs Descript Studio Sound on 100 noisy clips from Dolby’s UNIVERSE validation set, 1 November 2026
MetricUnprocessed inputDescriptCleanvoice Studio Sound 4.1Better
Word error rate ↓Omnilingual ASR on the output vs on the clean original17.0%25.4%15.5%Cleanvoice
Dropped words ↓Deletions per 100 reference words5.9%8.1%3.0%Cleanvoice
Changed words ↓Substitutions per 100 reference words10.8%16.1%11.2%Cleanvoice
Speech quality (SCOREQ) ↑Natural speech quality, 1 to 52.643.994.54Cleanvoice
Overall quality (DNSMOS OVRL) ↑DNSMOS P.835 overall score, 1 to 52.273.243.35Cleanvoice
Speaker similarity ↑How close the voice stays to the clean original0.9160.9330.955Cleanvoice
Intelligibility (ESTOI) ↑Against the clean reference0.7140.8030.840Cleanvoice
PESQ ↑Against the clean reference1.551.851.88Cleanvoice
Bandwidth ↑Median output bandwidth; the input stops at 8 kHz8.0 kHz17.3 kHz17.3 kHzTie

Cleanvoice leads on 8 of the 9 metrics, and the other is a tie: both reached 17.3 kHz of bandwidth. The Descript word error rate (25.4%) was the highest of the eight tools and higher than the unprocessed input (17.0%).

↓ lower is better, ↑ higher is better. Dropped and changed words are per 100 reference words. Word error rate also counts words the transcriber added, so those two don’t add up to it.

Clip by clip

Of the 100 clips, Cleanvoice had fewer word errors than Descript on 50, the same number on 40 and more on 10.

  • 50Cleanvoice betterfewer word errors
  • 40Sameequal word errors
  • 10Descript betterCleanvoice had more word errors

Listen: clip 0014

A damaged clip: echo, a band-reject filter and AC-3 codec damage. The speaker says: “move for the next couple of days it is not too late to get on board some have accepted it as a”. Listen for the end of the sentence, “some have accepted it as a”.

Clip 0014

Selected: Original (unprocessed)

0:00
Spectrograms of UNIVERSE clip 0014 (echo, a band-reject filter and AC-3 codec damage) through each tool, with what Omnilingual ASR heard. Cleanvoice: 5% of words wrong, keeps the end of the sentence, "some have accepted it as a". Unprocessed input: 14% wrong, the end comes out as "asam". Adobe Podcast: 27% wrong, stops at "some". Auphonic: 32% wrong. ElevenLabs and Descript Studio Sound: 36% wrong. Dolby UNIVERSE: 55% wrong. Each of them drops or garbles the end of the sentence.
Clip 0014 through six of the tools. The dashed line is 8 kHz, where the 16 kHz input ends; anything above it was restored by the tool. Transcripts by Meta’s Omnilingual ASR (CTC 7B v2).

Which one to choose

When to choose Descript Studio Sound

  • You already edit in Descript. Descript Studio Sound is built into the Descript editor, so it stays in the project you are working on.

When to choose Cleanvoice

  • You want fewer word errors. Descript changed 16.1 words per 100 and dropped 8.1; Cleanvoice changed 11.2 and dropped 3.0.
  • You want higher speech quality: SCOREQ 4.54 vs 3.99 and DNSMOS 3.35 vs 3.24.
  • You want enhancement that only works on the sound. Cleanvoice Studio Sound removes background noise, echo and other voices and restores bandwidth. It has no step that cuts or rewrites words.
  • You may also want editing later. Filler-word, stutter and silence removal are separate, optional Cleanvoice edits. You choose whether to use them, and Studio Sound works without them.
  • You want enhancement without moving into a new editor. Cleanvoice takes your audio or video file in the web app or the API and gives it back enhanced.

More on what it fixes: Cleanvoice Studio Sound, the AI audio enhancer.

How we tested

  • Data: the 100 noisy clips of Dolby’s public UNIVERSE validation set (Serrà et al., CC BY 4.0; noises include DEMAND, CC BY-SA).
  • Processing: each tool’s own product or API on 1 November 2026, at default enhancement settings. Cleanvoice processed each clip separately; the other tools processed the 100 clips joined into one 8.4-minute, 16 kHz file, which we cut back into clips. Dolby UNIVERSE is the paper’s released research outputs.
  • Word metrics: Meta’s Omnilingual ASR (CTC 7B v2) transcripts of each output against the same model on the clean originals (1,423 words). CTC models generally don’t hallucinate the way models with a language model do. Word error rate also counts words the transcriber added, so dropped and changed words don’t add up to it.
  • Quality: SCOREQ and DNSMOS P.835 OVRL. Speaker similarity, ESTOI and PESQ are measured against the clean original.
  • Limits: one dataset, 100 clips, 16 kHz input only, an automatic transcriber, and a test run by Cleanvoice itself.

The full method, every tool’s numbers and more audio are on the speech enhancement benchmark page.

Descript comparison questions

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No. They are different products from different companies that share a name. Cleanvoice Studio Sound is the AI audio enhancer in Cleanvoice; Descript Studio Sound is a feature of the Descript editor.

In our 100-clip test, Cleanvoice Studio Sound 4.1 led on 8 of 9 metrics: word errors 15.5% vs 25.4%, changed words 11.2 vs 16.1 per 100, dropped words 3.0 vs 8.1, SCOREQ 4.54 vs 3.99. The other was a tie: both reached 17.3 kHz of bandwidth.

Of the 100 clips, Cleanvoice had fewer word errors on 50, the same number on 40 and more on 10.

It has no step that cuts or rewrites words: it removes noise, echo and background voices and restores bandwidth. It can still get a word wrong on badly damaged audio, as every tool in this test did. The transcriber found 15.5 word errors per 100 on Cleanvoice's output, against 17.0 on the unprocessed input. Filler-word, stutter and silence removal are separate Cleanvoice edits you turn on yourself.

We ran the 100 noisy, 16 kHz clips of Dolby's public UNIVERSE validation set through each tool on 1 November 2026, at default settings. Cleanvoice and DeepFilterNet3 processed each clip on its own. The other products processed the 100 clips joined into one 8.4-minute file, which we cut back into clips. Dolby's row uses the outputs published with its paper. We transcribed every output with Meta's Omnilingual ASR (CTC 7B v2), a CTC model, and compared it with the same model on the clean originals (1,423 words). CTC models generally don't hallucinate the way models with a language model do. Word error rate also counts words the transcriber added, so dropped and changed words don't add up to it. SCOREQ and DNSMOS rate the sound without a reference; ESTOI and PESQ compare it with the clean original.

Cleanvoice AI Research ran it. It covers one dataset of 100 clips, mostly English VCTK speech, and 16 kHz input only. Tools ran on 1 November 2026 at default settings, and other audio or settings could give other results. The method, every number and the audio are on the speech enhancement benchmark page.

Adobe, Auphonic, Descript, ElevenLabs and Dolby are trademarks of their owners. Tests run by Cleanvoice on 1 November 2026; results may differ on other material.

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