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Efficient Join Cost Computation for Unit Selection based TTS Systems

机译:基于单元选择的TTS系统的有效连接成本计算

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A new efficient join cost calculation technique for unit selection based synthesis is proposed. The acoustic features representing the spectral content at the unit boundaries are encoded using multi-stage vector quantization. After applying pseudo-gray coding, the join costs are directly approximated based on the stage-wise codebook indices. As a result, both the memory requirement and the computation complexity are effectively reduced at the same time, making the technique especially suitable for embedded text-to-speech systems. Experiments are carried out comparing the proposed scheme with the original baseline technique that operates in a lossless manner using the uncompressed acoustic data and similarity measurement. Based on the experimental findings, the use of the proposed technique seems to perfectly maintain the speech quality despite the considerable reduction in complexity and memory usage.
机译:提出了一种新的高效连接成本计算技术,用于单位选择的基于单位选择的合成。表示单位边界处的光谱内容的声学特征是使用多级向量量化进行编码的。在申请伪灰色编码之后,基于舞台上的码本索引直接近似连接成本。结果,内存要求和计算复杂性同时有效地减少,使得该技术特别适用于嵌入式文本到语音系统。进行实验,将所提出的方案与原始基线技术进行比较,该技术使用未压缩的声学数据和相似度测量以无损方式操作。基于实验结果,尽管复杂性和内存使用量显着降低,所提出的技术的使用似乎完全保持了语音质量。

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