IMS-Speech: A Speech to Text Tool
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Abstract (arXiv)
We present the IMS-Speech, a web based tool for German and English speech transcription aiming to facilitate research in various disciplines which require accesses to lexical information in spoken language materials. This tool is based on modern open source software stack, advanced speech recognition methods and public data resources and is freely available for academic researchers. The utilized models are built to be generic in order to provide transcriptions of competitive accuracy on a diverse set of tasks and conditions.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Aug 2019.
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Citing papers per year: 2021: 1; 2022: 3.
4 papers.
- 2022Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Featurescited by 20
- 2022Low-Resource Multilingual and Zero-Shot Multispeaker TTScited by 15
- 2022Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speechcited by 13
- 2021Scribosermo: Fast Speech-to-Text models for German and other Languagescited by 7
- 2022Low-Resource Multilingual and Zero-Shot Multispeaker TTS21 Oct 2022
- 2022Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech24 Jun 2022
- 2022Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features7 Mar 2022
- 2021Scribosermo: Fast Speech-to-Text models for German and other Languages15 Oct 2021