Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vocal effort modeling in neural TTS for improving the intelligibility of
  synthetic speech in noise   We present a neural text-to-speech (TTS) method that models natural vocal
effort variation to improve the intelligibility of synthetic speech in the
presence of noise. The method consists of first measuring the spectral tilt of
unlabeled conventional speech data, and then conditioning a neural TTS model
with normalized spectral tilt among other prosodic factors. Changing the
spectral tilt parameter and keeping other prosodic factors unchanged enables
effective vocal effort control at synthesis time independent of other prosodic
factors. By extrapolation of the spectral tilt values beyond what has been seen
in the original data, we can generate speech with high vocal effort levels,
thus improving the intelligibility of speech in the presence of masking noise.
We evaluate the intelligibility and quality of normal speech and speech with
increased vocal effort in the presence of various masking noise conditions, and
compare these to well-known speech intelligibility-enhancing algorithms. The
evaluations show that the proposed method can improve the intelligibility of
synthetic speech with little loss in speech quality.

8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci
23
The categories of this paper are: solv-int