2023
DOI: 10.1109/jproc.2023.3250266
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An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era

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Cited by 20 publications
(6 citation statements)
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“…More importantly, to improve the naturalness of machine communication, the generation of emotionally expressive speech is required. While speech generation technologies have been making significant progress [4,5], emotionally expressive speech generation is still a challenge [6,7]. Speech emotion conversion (SEC) is a technique that aims to convert the expressed emotion of a spoken utterance to a target emotion while preserving the lexical and the speaker information [6,8].…”
Section: Introductionmentioning
confidence: 99%
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“…More importantly, to improve the naturalness of machine communication, the generation of emotionally expressive speech is required. While speech generation technologies have been making significant progress [4,5], emotionally expressive speech generation is still a challenge [6,7]. Speech emotion conversion (SEC) is a technique that aims to convert the expressed emotion of a spoken utterance to a target emotion while preserving the lexical and the speaker information [6,8].…”
Section: Introductionmentioning
confidence: 99%
“…While speech generation technologies have been making significant progress [4,5], emotionally expressive speech generation is still a challenge [6,7]. Speech emotion conversion (SEC) is a technique that aims to convert the expressed emotion of a spoken utterance to a target emotion while preserving the lexical and the speaker information [6,8]. Therefore, SEC has a crucial application in building next-generation human-machine interaction systems, aiming at equipping them with the ability to interact with social and emotional intelligence.…”
Section: Introductionmentioning
confidence: 99%
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