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Computer Science > Sound

arXiv:2106.06309 (cs)
[Submitted on 11 Jun 2021]

Title:HUI-Audio-Corpus-German: A high quality TTS dataset

Authors:Pascal Puchtler, Johannes Wirth, René Peinl
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Abstract:The increasing availability of audio data on the internet lead to a multitude of datasets for development and training of text to speech applications, based on neural networks. Highly differing quality of voice, low sampling rates, lack of text normalization and disadvantageous alignment of audio samples to corresponding transcript sentences still limit the performance of deep neural networks trained on this task. Additionally, data resources in languages like German are still very limited. We introduce the "HUI-Audio-Corpus-German", a large, open-source dataset for TTS engines, created with a processing pipeline, which produces high quality audio to transcription alignments and decreases manual effort needed for creation.
Subjects: Sound (cs.SD); Computation and Language (cs.CL); Audio and Speech Processing (eess.AS)
Cite as: arXiv:2106.06309 [cs.SD]
  (or arXiv:2106.06309v1 [cs.SD] for this version)
  https://doi.org/10.48550/arXiv.2106.06309

Submission history

From: René Peinl [view email]
[v1] Fri, 11 Jun 2021 10:59:09 UTC (369 KB)
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