Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Towards Fine-Grained Prosody Control for Voice Conversion   In a typical voice conversion system, prior works utilize various acoustic
features (e.g., the pitch, voiced/unvoiced flag, aperiodicity) of the source
speech to control the prosody of generated waveform. However, the prosody is
related with many factors, such as the intonation, stress and rhythm. It is a
challenging task to perfectly describe the prosody through acoustic features.
To deal with this problem, we propose prosody embeddings to model prosody.
These embeddings are learned from the source speech in an unsupervised manner.
We conduct experiments on our Mandarin corpus recoded by professional speakers.
Experimental results demonstrate that the proposed method enables fine-grained
control of the prosody. In challenging situations (such as the source speech is
a singing song), our proposed method can also achieve promising results.

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The categories of this paper are: econ
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The categories of this paper are: physics
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The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
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The categories of this paper are: supr-con
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The categories of this paper are: alg-geom
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The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: dg-ga
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The categories of this paper are: q-fin
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The categories of this paper are: atom-ph
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The categories of this paper are: math-ph
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The categories of this paper are: stat
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The categories of this paper are: gr-qc
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The categories of this paper are: nlin
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The categories of this paper are: bayes-an