The Hindi output was robotic and disjointed, even more so than the English runs.
What was measured
Naturalness & Human Quality
How realistic and human-like the output sounds, including pacing, breathing, and micro-pauses.
decisive for this rankingtransformation
A voiceover tool has to sound human and listenable; unnatural pacing or robotic delivery undermines the main job. (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⚠ StruggledThe output was already too poor at the outset to judge whether quality would degrade further over length.Multilingual Output Quality✗ FailedThe multilingual result was judged not worth sharing and not suitable for real content; it was the weakest multilingual output in the round.Pronunciation Accuracy⚠ StruggledHindi pronunciation was inconsistent: some words were recognizable, but the disjointed delivery made portions harder to parse than the English outputs.Voice Match Accuracy✗ FailedThe Hindi output bore no real resemblance to the source speaker and was judged the weakest identity-preservation result in the set.
Provenance
- Observation
- 97cb175b-8fd8-4f6a-9adf-2f7b0b8d71d2
- 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: "uberduck",
scenario: "voice-cloning"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 8 other tools
measured on Naturalness & Human Quality
AICloneVoiceFree.com⚠ StruggledThe Hindi output sounds robotic, with weak natural speech flow and largely absent human-like qualities compared with the English cloning results.ElevenLabs✓ WorkedStill sounds natural, human-like, and pleasant in Hindi even though the cloned identity is weak.Fish Audio✓ WorkedSounds human in Hindi as well: pacing, pitch, and pauses came through well in both Hindi outputs, and neither was described as robotic.Heygen⚠ StruggledThe Hindi output contained robotic artifacts and did not sound completely natural or smooth.Inworld✓ WorkedThe Hindi output still sounded human, with natural pauses and phrasing and no robotic quality.MiniMax✓ WorkedThe Hindi output still sounded human-like with natural pauses rather than robotic.TopMediai Voice Cloning✓ WorkedHD sounds human-like in Hindi with better flow and delivery than Gen+, plus a natural conversational rhythm.VocalAI⚠ StruggledThe Hindi output sounded more robotic than the English runs, with weaker human-like qualities and a less natural speech flow.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com