{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/hui-audio-corpus-german-a-high-quality-tts","title":"HUI-Audio-Corpus-German: A high quality TTS dataset","arxiv_id":"2106.06309","date":"2021-06-11","proceeding":null,"authors":["Pascal Puchtler","Johannes Wirth","René Peinl"],"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.","url_abs":"https://arxiv.org/abs/2106.06309v1","url_pdf":"https://arxiv.org/pdf/2106.06309v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"hui-audio-corpus-german-a-high-quality-tts","repo_url":"https://github.com/iisys-hof/HUI-Audio-Corpus-German","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"text-normalization","task_name":"Text Normalization"},{"task_slug":"text-to-speech","task_name":"Text to Speech"},{"task_slug":"high","task_name":"Vocal Bursts Intensity Prediction"},{"task_slug":"text-to-speech-1","task_name":"text-to-speech"}],"methods":[],"datasets_introduced":[{"slug":"hui","name":"HUI speech corpus","full_name":"Hof University iisys speech dataset"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2106.06309","atlas_url":"https://app.syntology.ai/?focus=2106.06309","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}