三种南非语言的合成儿童语言的发展
Camryn Terblanche1, Tyler T Schnoor2, Michal Harty1
1Division of Communication Sciences and Disorders, University of Cape Town, SA.
概括
这项研究开发了自然主义的合成儿童语音,用于南非语言中有沟通困难的儿童. 合成的声音成功地与儿童的声音身份相匹配,即使数据有限.
科学领域:
- 语音合成 语音合成
- 计算语言学计算语言学
- 辅助技术是指辅助技术的使用.
背景情况:
- 具有表达性沟通困难的儿童有权用他们选择的语言和与他们的身份相匹配的声音进行交流.
- 为儿童开发个性化的合成语音,尤其是在资源不足的语言中,由于数据稀缺,提出了重大挑战.
研究的目的:
- 使用Tacotron 2开发自然主义的合成儿童语言.
- 为了匹配三个有表达性沟通困难的孩子的声音身份.
- 为三个资源不足的南非语言创建合成声音:南非英语 (SAE),非洲语和isiXhosa.
主要方法:
- 从三个11岁至12岁的孩子那里收集了每个孩子的2小时的语音数据.
- 利用Tacotron 2进行语音合成,使用两个成年模型进行"热启动"初始化.
- 在124名听众中进行了平均意见分数 (MOS) 调查,以评估声音的自然性,并补充了定性反.
主要成果:
- 在SAE,非洲语和isiXhosa中成功开发了足够质量的合成儿童声音.
- 证明了创造个性化的合成声音的可行性,尽管训练数据有限.
- 听众反表明成功的自然性和声乐身份匹配.
结论:
- 最近技术的进步使得高质量的合成儿童语言的开发成为可能.
- 在资源不足的语言中,可以为有表达性沟通困难的儿童创建个性化的合成声音.
- 这项研究有助于改善有特殊需求的儿童的沟通可访问性.
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