The tool reduced AC and breathing noise, but a noticeable transient noise at about 0.7–0.8 seconds remained audible.

◐ Mixed🧾 artifact-verifiedinput + output shownTest date not recordedElevenLabs Voice Isolator
What was measured
Noise removal effectiveness

How much of the unwanted noise is actually removed, and whether the tool handles different noise types or only simple hiss.

decisive for this rankingtransformation

This is the core job: a tool only ranks well if it actually removes unwanted noise effectively. (3 of 3 judges)

What was given, what came back

Test input: Indoor Air Conditioner Noise · audio · group: background-noise-removal
Input — what we sent
0:00 / 0:00
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Indoor Air Conditioner Noise

A real-world indoor speech recording with a single continuous HVAC/air-conditioner noise source. It is designed to test speech isolation and noise reduction when the background noise is predictable and steady.

Why this input is hard
  • · Removal of continuous HVAC noise
  • · Speech preservation with steady background noise
  • · Natural voice quality retention
  • · Background noise reduction with minimal cleanup
Output — unretouched
0:00 / 0:00
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Provenance
Observation
46784b10-67d3-47b3-8e2f-994179f76cbc
Evidence run
189e3005-33f2-4481-924e-334542fcda87
Study
Remove Background Noise from Audio and Video Recordings Using AI
Research task
86ba6cyhe
Tested at
not recorded
Source
first-party
Evidence state
verified
Proof shown
input + output shown
Cost / latency
not captured
Repeat run
not captured
Tester
not captured

The last three rows are honest blanks, not placeholders — our capture has no field for them yet.

Query this
get_evidence({
  tool: "elevenlabs-voice-isolator",
  scenario: "background-noise-removal"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 5 other tools
measured on Noise removal effectiveness
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com