Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS   This paper presents Nana-HDR, a new non-attentive non-autoregressive model
with hybrid Transformer-based Dense-fuse encoder and RNN-based decoder for TTS.
It mainly consists of three parts: Firstly, a novel Dense-fuse encoder with
dense connections between basic Transformer blocks for coarse feature fusion
and a multi-head attention layer for fine feature fusion. Secondly, a
single-layer non-autoregressive RNN-based decoder. Thirdly, a duration
predictor instead of an attention model that connects the above hybrid encoder
and decoder. Experiments indicate that Nana-HDR gives full play to the
advantages of each component, such as strong text encoding ability of
Transformer-based encoder, stateful decoding without being bothered by exposure
bias and local information preference, and stable alignment provided by
duration predictor. Due to these advantages, Nana-HDR achieves competitive
performance in naturalness and robustness on two Mandarin corpora.

16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci