What does this research mean for the field?

A novel method, PronounSE, effectively synthesizes sound effects by directly learning spectral correspondences from vocal mimicry, with synthesis fidelity being strongly dependent on the user's mimicry skill and speaker-specific characteristics. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To synthesize realistic sound effects directly from language-independent vocal mimicry by learning spectral correspondences between human vocal imitation and target sounds.

August 29, 2026APSIPA Transactions on Signal and Information ProcessingOpen Access

Sound effect synthesis from language-independent mimicry: a case study on explosion sounds

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Authors

RTRiki TakizawaKyoto Sangyo University SHShigeyuki HiraiKyoto Sangyo University AKAsako KanezakiTokyo Institute of Technology

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Implication

Model evaluation demonstrates nuanced sound effect generation in vocal mimicry inputs, indicating direct spectral learning enables intuitive acoustic control.

Key Points

To synthesize realistic sound effects directly from language-independent vocal mimicry by learning spectral correspondences between human vocal imitation and target sounds.
Developed PronounSE, an audio synthesis architecture that directly learns spectral relationships between nonlinguistic vocal mimicry and target sound effects.
Constructed a paired vocal-mimicry dataset centered on explosion sounds, selected for their acoustic diversity and noise-like, aperiodic properties.
Assessed performance across four objective and subjective dimensions: audio naturalness, overall quality, target fidelity, and vocal mimicry nuance reflection.
PronounSE successfully synthesized explosion sounds reflecting subtle input nuances, yielding strong correlations between objective and subjective fidelity scores.
Target fidelity varied substantially based on individual mimicry skill and speaker-specific voice traits, establishing fidelity and nuance reflection as distinct evaluation criteria.

Cite This Study

Takizawa et al. (2026) studied this question.

synapsesocial.com/papers/6a92be7b8e5d7d1fc0c1236a https://doi.org/10.1108/atsip-02-2026-0010

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Implication

Model evaluation demonstrates nuanced sound effect generation in vocal mimicry inputs, indicating direct spectral learning enables intuitive acoustic control.

Sound effect synthesis from language-independent mimicry: a case study on explosion sounds

Discussion

Member takes

Implication

Key Points

Cite This Study

Sound effect synthesis from language-independent mimicry: a case study on explosion sounds

Discussion

Member takes

Implication

Key Points

Cite This Study

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