Human-Machine Interaction Speech Corpus from the ROBIN project
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Abstract (arXiv)
This paper introduces a new Romanian speech corpus from the ROBIN project, called ROBIN Technical Acquisition Speech Corpus (ROBINTASC). Its main purpose was to improve the behaviour of a conversational agent, allowing human-machine interaction in the context of purchasing technical equipment. The paper contains a detailed description of the acquisition process, corpus statistics as well as an evaluation of the corpus influence on a low-latency ASR system as well as a dialogue component.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 6 of its 28 references that are in the map. First posted on arXiv 22 Nov 2021.
Builds on
6 of 28 references.
References · 6
- 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,384
- 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 463
- 2015Deep Speech 2: End-to-End Speech Recognition in English and Mandarincited by 451
- 2020Rethinking Evaluation in ASR: Are Our Models Robust Enough?cited by 73
- 2019MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Biblecited by 24
- 2018Tools and resources for Romanian text-to-speech and speech-to-text applicationscited by 2
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.