通过男性声音中的女性说话风格迁移生成性别模糊语音
Gender-ambiguous voice generation through feminine speaking style transfer in male voices
AI总结：
本研究首次通过将男性音色与女性说话风格结合，利用语音变形和音高偏移生成性别模糊语音，并验证了说话风格对模糊性的贡献。
摘要：
最近，在负责任人工智能的框架下，人们致力于开发性别模糊的合成语音，以用单一声音代表性别谱系中的所有个体。然而，尽管二元性别与非二元群体之间存在差异，现有研究却完全忽视了说话风格这一因素。在本工作中，我们通过将男性说话者的音色与女性说话者的说话方式相结合，利用语音变形和音高偏移向男-女边界靠拢，从而合成性别模糊的语音。主观评估表明，传达女性说话风格的变形样本其模糊性高于仅进行音高变换的样本，这表明说话风格可能是创造性别模糊语音的一个促成因素。据我们所知，这是首个明确利用说话风格迁移来创造性别模糊声音的研究。
英文摘要：
Recently, and under the umbrella of Responsible AI, efforts have been made to develop gender-ambiguous synthetic speech to represent with a single voice all individuals in the gender spectrum. However, research efforts have completely overlooked the speaking style despite differences found among binary and non-binary populations. In this work, we synthesise gender-ambiguous speech by combining the timbre of a male speaker with the manner of speech of a female speaker using voice morphing and pitch shifting towards the male-female boundary. Subjective evaluations indicate that the ambiguity of the morphed samples that convey the female speech style is higher than those that undergo plain pitch transformations suggesting that the speaking style can be a contributing factor in creating gender-ambiguous speech. To our knowledge, this is the first study that explicitly uses the transfer of the speaking style to create gender-ambiguous voices.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
