Perceptual Adaptation to Noise-Vocoded Voice Clones
Han Wang1,2,3, Carolyn McGettigan4, Patti Adank4
1School of Psychology, University of Roehampton, London, UK.
Trends in Hearing
|July 18, 2026
Summary
Voice clones remain more intelligible than human voices even when degraded by noise-vocoding. Listeners adapt to cloned voices as effectively as human voices, showing significant intelligibility improvements.
Area of Science:
- Speech processing
- Artificial intelligence
- Psychoacoustics
Background:
- Voice cloning technology produces humanlike synthetic voices.
- Cloned voices show enhanced intelligibility over human voices in background noise.
- Noise-vocoding severely degrades speech signal information.
Purpose of the Study:
- To determine if voice clones maintain intelligibility benefits when degraded by noise-vocoding.
- To investigate listener adaptation to noise-vocoded voice clones.
- To compare adaptation to noise-vocoded cloned versus human voices.
Main Methods:
- Ten six-band noise-vocoded voice clones and their human originals were compared.
- Listeners heard 80 sentences in counterbalanced blocks of cloned and human voices.
- Intelligibility accuracy and perceptual adaptation over time were measured.
Main Results:
- Voice clones demonstrated 13.2% higher intelligibility accuracy than human originals.
- Listeners adapted to noise-vocoded speech, improving by approximately 16%.
- Adaptation levels were similar for both noise-vocoded cloned and human voices.
Conclusions:
- The intelligibility benefit of voice clones persists with noise-vocoded speech.
- Listeners perceptually adapt to noise-vocoded cloned voices effectively.
- Findings support voice clone applications, including assistive listening technologies.
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