Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning   Despite the growing interest for expressive speech synthesis, synthesis of
nonverbal expressions is an under-explored area. In this paper we propose an
audio laughter synthesis system based on a sequence-to-sequence TTS synthesis
system. We leverage transfer learning by training a deep learning model to
learn to generate both speech and laughs from annotations. We evaluate our
model with a listening test, comparing its performance to an HMM-based laughter
synthesis one and assess that it reaches higher perceived naturalness. Our
solution is a first step towards a TTS system that would be able to synthesize
speech with a control on amusement level with laughter integration.

15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int