Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Joint training framework for text-to-speech and voice conversion using
  multi-source Tacotron and WaveNet   We investigated the training of a shared model for both text-to-speech (TTS)
and voice conversion (VC) tasks. We propose using an extended model
architecture of Tacotron, that is a multi-source sequence-to-sequence model
with a dual attention mechanism as the shared model for both the TTS and VC
tasks. This model can accomplish these two different tasks respectively
according to the type of input. An end-to-end speech synthesis task is
conducted when the model is given text as the input while a
sequence-to-sequence voice conversion task is conducted when it is given the
speech of a source speaker as the input. Waveform signals are generated by
using WaveNet, which is conditioned by using a predicted mel-spectrogram. We
propose jointly training a shared model as a decoder for a target speaker that
supports multiple sources. Listening experiments show that our proposed
multi-source encoder-decoder model can efficiently achieve both the TTS and VC
tasks.

24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph