Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis
  Including Unsupervised Duration Modeling   This paper presents Non-Attentive Tacotron based on the Tacotron 2
text-to-speech model, replacing the attention mechanism with an explicit
duration predictor. This improves robustness significantly as measured by
unaligned duration ratio and word deletion rate, two metrics introduced in this
paper for large-scale robustness evaluation using a pre-trained speech
recognition model. With the use of Gaussian upsampling, Non-Attentive Tacotron
achieves a 5-scale mean opinion score for naturalness of 4.41, slightly
outperforming Tacotron 2. The duration predictor enables both utterance-wide
and per-phoneme control of duration at inference time. When accurate target
durations are scarce or unavailable in the training data, we propose a method
using a fine-grained variational auto-encoder to train the duration predictor
in a semi-supervised or unsupervised manner, with results almost as good as
supervised training.

20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
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The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
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The categories of this paper are: eess
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The categories of this paper are: nucl-th
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The categories of this paper are: solv-int