The 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.
What was measured
Multilingual Output Quality
How well the cloned voice preserves speaker identity and quality when generating speech in another language.
decisive for this rankingtransformation
If the tool is used to generate cloned voiceover in another language, preserving identity and quality is part of the core performance being tested. (2 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.Naturalness & Human Quality✓ WorkedThe Hindi output still sounded human-like with natural pauses rather than robotic.Pronunciation Accuracy✓ WorkedHindi pronunciation itself was accurate and clear on the generated output, despite the weaker speaker-identity match.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
- 4de0eeff-bab9-4358-bee1-6ab5055445fe
- 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 Multilingual Output Quality
AICloneVoiceFree.com⚠ StruggledMultilingual cloning works but is weak overall: the report says the voice becomes robotic, loses most of the original speaker's characteristics, and is not suitable for production use.ElevenLabs◐ MixedCan generate Hindi speech, but the output shifts tone, pacing, and pitch enough that speaker identity preservation is weak and the clone is not suitable when the original voice matters.Fish Audio⚠ StruggledCross-language output quality is only partial: the Hindi script is supported and speaker identity stays decent, but pronunciation is frequently inaccurate, making the Hindi clone unreliable.Heygen◐ MixedThe tool does support multilingual voice generation, but the Hindi result was not production-ready because pronunciation accuracy was the biggest limitation.Inworld◐ MixedThe tool can generate cloned speech from a pasted Hindi script, but the overall cross-language result was only middling because the sample was not fully satisfying even though the language remained intelligible.TopMediai Voice Cloning✓ WorkedGen+ reproduces Hindi accurately even though voice similarity is lower, so multilingual generation quality remains strong.Uberduck✗ FailedThe multilingual result was judged not worth sharing and not suitable for real content; it was the weakest multilingual output in the round.VocalAI✓ WorkedThe Hindi generation remained clear and understandable, and the report says the model handled language pronunciation and adaptation effectively.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com