Exact(8)
First, we propose multimodal exemplar-based VC for noisy environments.
A quick intelligibility test for noisy environments is presented and evaluated in this article.
A multimodal voice conversion (VC) method for noisy environments is proposed.
For noisy environments, this estimation can be improved by using a GPS.
Despite these characteristics, the problem of computerized analysis of PCG signals still remains very challenging for noisy environments.
In [25], a state of the art speech recognition system was exploited for noisy environments and reverberation.
In our previous work, a VC technique using non-negative matrix factorization (NMF) for noisy environments was proposed.
However, in the framework of exemplar-based VC for noisy environments, such a method has never been proposed.
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