The tool can omit the featured subject’s specific sound at the moment it appears and fall back to generic ambience.

⚠ Struggled🧾 artifact-verifiedinput + output shownTest date not recordedKling AI
What was measured
Scene-Sound Relevance

The generated effect matches what is visually happening on screen.

decisive for this rankingtransformation

This directly tests whether the sound effect matches the scene, which is the main reason a user chooses this tool. (3 of 3 judges)

What was given, what came back

Test input: Bird/Nature Video · video · group: auto-sfx-video-generation
Input — what we sent
Input not captured
This run recorded no prompt or input file for the test, so we cannot show you what produced the result below. Capture gaps are tracked, not hidden.

A video featuring a bird in frame, used to test whether generated chirping or ambient sounds sync to the specific animal and movement shown on screen.

Why this input is hard
  • · sync accuracy to a visible subject
  • · nature/animal sound matching
  • · avoiding generic ambience that ignores timing
  • · scene-specific audio generation
Provenance
Observation
e928b323-df69-4f9f-9042-9d72294d89f2
Evidence run
90451942-9055-4e8c-85e6-17c773437ed7
Study
Automatically Add Relevant Sound Effects to Videos
Research task
86b84w3x5
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: "kling-ai",
  scenario: "auto-sfx-video-generation"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 2 other tools
measured on Scene-Sound Relevance
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com