Voice Conversion, Voice Morphing, and Speech Style Modification

A speech sample can be morphed from one voice to another by computing a sufficiently detailed time-frequency parameterization of the signal, optionally decomposing it into speaker-dependent and speaker-independent signal components, editing the parameterization or signal components, and then generating a speech signal based on the edited parameterization. Fine-grained control of time-frequency parameters has found applications in the scientific study of speech perception and in artistic applications such as voiceover and music. Coarse-grained control of speaker identity, emotion, and second-language accent have been applied to various tasks, including the training of speech recognizers and speaker anonymization.

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Publication Details

Journal
Annual Review of Linguistics
Published
2026-11-05
DOI
https://doi.org/10.1146/annurev-linguistics-033125-112552
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

Voice Conversion, Voice Morphing, and Speech Style Modification

Mark Hasegawa‐Johnson, Hideki Kawahara
Annual Review of Linguistics
Speech Recognition and Synthesis
article

Voice Conversion, Voice Morphing, and Speech Style Modification

Mark Hasegawa‐Johnson, Hideki Kawahara
article en

Abstract

A speech sample can be morphed from one voice to another by computing a sufficiently detailed time-frequency parameterization of the signal, optionally decomposing it into speaker-dependent and speaker-independent signal components, editing the parameterization or signal components, and then generating a speech signal based on the edited parameterization. Fine-grained control of time-frequency parameters has found applications in the scientific study of speech perception and in artistic applications such as voiceover and music. Coarse-grained control of speaker identity, emotion, and second-language accent have been applied to various tasks, including the training of speech recognizers and speaker anonymization.

Annual Review of Linguistics
University of Illinois Urbana-Champaign (US), Wakayama University (JP)
Openalex Percentile: Top 16%
Speech Recognition and Synthesis
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