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ZENODO
Model . 2023
Data sources: ZENODO
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THCHS-30 Chinese TTS

Authors: Taubert, Stefan;

THCHS-30 Chinese TTS

Abstract

This upload contains a TTS model which was trained on the THCHS-30 dataset using these transcriptions but with explicit phoneme duration markers removed. The model is trained using tacotron-cli (v0.0.4). The model achieves the following values on the validation set: mean mel-cepstral distance: 25.19 mean penalty: 0.1456 Files: 103500.pt checkpoint after 500 epochs with a batch size of 64 1-setup-env.sh script to install all required tools 2-create-dataset.sh script to create the base dataset using public resources 3-create-train-val-set.sh script to create the training set and validation set 4-start-training.sh script to start training using Tacotron 5-convert-chinese-to-ipa.sh script to prepare Chinese texts for synthesis by transcribing them to IPA 6-synthesize.sh script to synthesize IPA transcribed text example-north-wind.zip contains an example passage which was synthesized using the model (speaker: D7) The model is able to synthesize the following symbols: vowels: a ɛ e ə ɚ ɤ i o ɹ̩ ɻ ɻ̩ u ʊ y diphthongs: ai̯ au̯ ei̯ ou̯ consonants: f j k kʰ l m n p pʰ s t ts tsʰ tɕ tɕʰ tʰ w x ŋ ɕ ɥ ʂ ʈʂ ʈʂʰ breaks: SIL0 -> no break SIL1 -> short break SIL2 -> break SIL3 -> long break special characters: 。 ? Vowels and diphthongs contain one of these tones: ˥ -> first tone, e.g., e˥ ˧˥ -> second tone, e.g., e˧˥ ˧˩˧ -> third tone, e.g., e˧˩˧ ˥˩ -> fourth tone, e.g., e˥˩ nothing -> no tone, e.g., e Available speakers: male: A9, A33, A35, B21, B34, A8, B8, C8, D8 female: A11, A12, A13, A14, A19, A2, A22, A23, A32, A34, A36, A4, A5, A6, A7, B11, B12, B15, B2, B22, B31, B32, B33, B4, B6, B7, C12, C13, C14, C17, C18, C19, C2, C20, C21, C22, C23, C31, C32, C4, C6, C7, D11, D12, D13, D21, D31, D32, D4, D6, D7 Example sentence: 有一次, 北风 和 太阳 正在 争论 谁 比较 有本事。 j|ou̯˧˩˧|i˥|tsʰ|ɹ̩˥˩|SIL2|p|ei̯˧˩˧|f|ə˥|ŋ|SIL0|x|ɤ˧˥|SIL0|tʰ|ai̯˥˩|j|a˧˥|ŋ|SIL0|ʈʂ|ə˥˩|ŋ|ts|ai̯˥˩|SIL0|ʈʂ|ə˥|ŋ|l|w|ə˥˩|n|SIL0|ʂ|w|ei̯˧˥|SIL0|p|i˧˩˧|tɕ|j|au̯˥˩|SIL0|j|ou̯˧˩˧|p|ə˧˩˧|n|ʂ|ɻ̩˥˩|。

The authors gratefully acknowledge the GWK support for funding this project by providing computing time through the Center for Information Services and HPC (ZIH) at TU Dresden. The authors are grateful to the Center for Information Services and High Performance Computing [Zentrum fur Informationsdienste und Hochleistungsrechnen (ZIH)] at TU Dresden for providing its facilities for high throughput calculations.

Related Organizations
Keywords

Pinyin, IPA, FOS: Languages and literature, Linguistics, TTS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average