Abstract
In this paper, we present a singing voice synthesis system, which can convert lyrics to singing voice. As the synthetic song’s timbre is too monotonous, a new singing voice morphing algorithm based on GMM (Gaussian Mixture Model) was presented accordingly. The MOS test shows that the average MOS score of synthesized song is above 3.3 before timbre conversion. The professional singer’s timbre can be added proportionally by changing the scale factor k in the system. The ABX test demonstrates that the accuracy can be up to 100% in the case of k=0 or k=1, and it can be higher than 64.5% in the case of 0<k<1. The experiments also show the mean of GMM has greater impact on a singer’s timbre than weight ratio and covariance.
This work is partially supported by the National Science Foundation of China (NSFC) under grant NO.60875015 and the Key Project of Chinese Ministry of Education under grant MO.208146.
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Li, J., Yang, H., Zhang, W., Cai, L. (2011). A Lyrics to Singing Voice Synthesis System with Variable Timbre. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23220-6_23
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DOI: https://doi.org/10.1007/978-3-642-23220-6_23
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