Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Neural Speech Synthesis for Estonian   This technical report describes the results of a collaboration between the
NLP research group at the University of Tartu and the Institute of Estonian
Language on improving neural speech synthesis for Estonian. The report (written
in Estonian) describes the project results, the summary of which is: (1) Speech
synthesis data from 6 speakers for a total of 92.4 hours is collected and
openly released (CC-BY-4.0). Data available at https://konekorpus.tartunlp.ai
and https://www.eki.ee/litsents/. (2) software and models for neural speech
synthesis is released open-source (MIT license). Available at
https://koodivaramu.eesti.ee/tartunlp/text-to-speech . (3) We ran evaluations
of the new models and compared them to other existing solutions (HMM-based HTS
models from EKI, http://www.eki.ee/heli/, and Google's speech synthesis for
Estonian, accessed via https://translate.google.com). Evaluation includes voice
acceptability MOS scores for sentence-level and longer excerpts, detailed error
analysis and evaluation of the pre-processing module.

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The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
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The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
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The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: solv-int
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The categories of this paper are: plasm-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: stat
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The categories of this paper are: acc-phys
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The categories of this paper are: eess
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The categories of this paper are: hep-ex
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The categories of this paper are: bayes-an