This paper presents the VRAIN-UPV MLLP's speech synthesis system for the SH1 task of the Blizzard Challenge 2021. The SH1 task consisted in building a Spanish text-to-speech system trained on (but not limited to) the corpus released by the Blizzard Challenge 2021 organization. It included 5 hours of studio-quality recordings from a native Spanish female speaker. In our case, this dataset was solely used to build a two-stage neural text-to-speech pipeline composed of a non-autoregressive acoustic model with explicit duration modeling and a HiFi-GAN neural vocoder. Our team is identified as J in the evaluation results. Our system obtained very good results in the subjective evaluation tests. Only one system among other 11 participants achieved better naturalness than ours. Concretely, it achieved a naturalness MOS of 3.61 compared to 4.21 for real samples.
翻译:本文介绍了VRAIN-UPV MLLP为2021年Blizzard Challenge 2021年Blizzard 挑战SH1任务提供的VRAIN-UPV MLLP语言合成系统。 SH1的任务是建立一个西班牙文本到语音系统,该系统在(但不限于)Blizzard Challenge 2021 组织发布的材料上受过培训,其中包括一位西班牙土著女演讲人5小时的演播室质量记录。就我们而言,该数据集仅用于建造一个两阶段神经文本到语音管道,由具有明确期限模型的非航空声学模型和HiFi-GAN神经电解码器组成。我们的团队在评估结果中被确定为J。我们的系统在主观评价测试中取得了非常好的结果。在另外11个参与者中,只有一个系统比我们得到了更好的自然性。具体地说,它实现了3.61至4.21的自然性MOS,而真实样本为4.21。