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New Romanian Visual Speech Recognition Dataset VSRo-200 Released

Researchers have introduced VSRo-200, a new large-scale dataset for visual speech recognition in Romanian. The dataset includes 200 hours of real-world podcast videos, with a portion annotated by humans and the rest by pseudo-labels from a fine-tuned Romanian ASR model. This resource aims to establish a benchmark for low-resource visual speech recognition and facilitate studies on supervision quality, domain generalization, and multimodal fusion. AI

IMPACT Provides a new resource for advancing research in low-resource visual speech recognition and multimodal fusion.

RANK_REASON The cluster describes a new academic dataset and benchmark for a specific research area (visual speech recognition).

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New Romanian Visual Speech Recognition Dataset VSRo-200 Released

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The cluster describes a new academic dataset and benchmark for a specific research area (visual speech recognition).
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Iulia-Maria Udrea, Alexandra Diaconu, Bogdan Alexe ·

    VSRo-200: A Romanian Visual Speech Recognition Dataset for Studying Supervision and Multimodal Robustness

    arXiv:2607.08112v1 Announce Type: new Abstract: We introduce VSRo-200, the first large-scale dataset for visual speech recognition (lip reading) in Romanian, comprising 200 hours of real-world podcast videos. All samples are annotated with pseudo-labels generated by a fine-tuned …

  2. arXiv cs.CV TIER_1 English(EN) · Bogdan Alexe ·

    VSRo-200: A Romanian Visual Speech Recognition Dataset for Studying Supervision and Multimodal Robustness

    We introduce VSRo-200, the first large-scale dataset for visual speech recognition (lip reading) in Romanian, comprising 200 hours of real-world podcast videos. All samples are annotated with pseudo-labels generated by a fine-tuned Romanian ASR model, while a subset of 100 hours …