Hindi pronunciation itself was accurate and clear on the generated output, despite the weaker speaker-identity match.
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
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Also checked on this input — same tool, 4 other criteria
Long-Form Consistency◐ MixedAt the generated clip length, the Hindi output stayed structurally stable, but the report did not test any longer Hindi passage.Multilingual Output Quality◐ MixedThe Hindi generation was intelligible and usable, but overall multilingual cloning quality was only fair because the voice no longer sounded much like the original speaker; the report also says results may need further tuning per language.Naturalness & Human Quality✓ WorkedThe Hindi output still sounded human-like with natural pauses rather than robotic.Voice Match Accuracy⚠ StruggledSpeaker identity preservation dropped to about 20–30% in Hindi, down from roughly 35–45% in English, so the cloned voice largely lost its original character in cross-language generation.
Provenance
- Observation
- f10e83b6-eeaf-408c-88f4-a7207819bec5
- 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: "minimax-io",
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.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.VocalAI✓ WorkedThe multilingual run handled Hindi pronunciation effectively enough to remain clear and understandable.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com