The multilingual run handled Hindi pronunciation effectively enough to remain clear and understandable.
What was measured
Pronunciation Accuracy
How well the tool handles names, technical terms, numbers, acronyms, and other tricky pronunciations.
decisive for this rankingtransformation
If a cloned voice cannot handle names, numbers, acronyms, and technical terms correctly, it fails at producing usable voiceover. (3 of 3 judges)
What was given, what came back
Test input: Multilingual Voice Sample (Hindi) · text · group: voice-cloning
Input — what we sent
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Multilingual Voice Sample (Hindi)
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Multilingual Voice Sample (Hindi)
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Multilingual Voice Sample (Hindi)
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Multilingual Voice Sample (Hindi)
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Multilingual Voice Sample (Hindi)
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Multilingual Voice Sample (Hindi)
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Multilingual Voice Sample (Hindi)
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Multilingual Voice Sample (Hindi)
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Multilingual Voice Sample (Hindi)
A Hindi-language generation prompt applied to the already-cloned voice to test cross-language speaker preservation, pronunciation accuracy, and multilingual consistency across tools.
Why this input is hard
- · Multilingual voice generation
- · Cross-language speaker preservation
- · Pronunciation accuracy in Hindi
- · Tone, pitch, and pacing consistency across languages
- · Long-form multilingual reliability
Output — unretouched
0:00 / 0:00
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Also checked on this input — same tool, 4 other criteria
Long-Form Consistency◐ MixedLong-form consistency was acceptable but not fully reliable, with occasional quality fluctuations that made the output better suited to shorter multilingual content than extended narration.Multilingual Output Quality✓ WorkedThe Hindi generation remained clear and understandable, and the report says the model handled language pronunciation and adaptation effectively.Naturalness & Human Quality⚠ StruggledThe Hindi output sounded more robotic than the English runs, with weaker human-like qualities and a less natural speech flow.Voice Match Accuracy⚠ StruggledIn Hindi, the cloned voice preserved only about 15–20% of the original speaker's identity, with most of the output sounding significantly different from the source voice.
Provenance
- Observation
- ea7cccf2-d356-4db0-a864-f506542e1a00
- Evidence run
- 46222c41-0046-41cc-bfaa-5f7ba6aa4933
- Study
- Clone Your Voice and Generate Voiceover from Text
- Research task
- 86ba42bx1
- 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: "vocalai",
scenario: "voice-cloning"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 8 other tools
measured on Pronunciation Accuracy
AICloneVoiceFree.com◐ MixedPronunciation in Hindi is inconsistent, indicating uneven handling of the multilingual script even though the tool does generate output.ElevenLabs✓ WorkedKeeps Hindi flow and pronunciation generally smooth, even though identity preservation is weak.Fish Audio✗ FailedHindi pronunciation breaks down in several places: output 1 had multiple pronunciation errors, and output 2 repeated the same mispronunciation pattern.Heygen✗ FailedHindi words were frequently mispronounced in the multilingual output.Inworld✓ WorkedHindi pronunciation was a genuine strength: words came through clearly and naturally in the full non-English script.MiniMax✓ WorkedHindi pronunciation itself was accurate and clear on the generated output, despite the weaker speaker-identity match.TopMediai Voice Cloning✓ WorkedGen+ keeps Hindi pronunciation and language reproduction accurate despite weak identity matching.Uberduck⚠ StruggledHindi pronunciation was inconsistent: some words were recognizable, but the disjointed delivery made portions harder to parse than the English outputs.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com