The SLT 2021 children speech recognition challenge: Open datasets, rules and baselines
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Abstract (arXiv)
Automatic speech recognition (ASR) has been significantly advanced with the use of deep learning and big data. However improving robustness, including achieving equally good performance on diverse speakers and accents, is still a challenging problem. In particular, the performance of children speech recognition (CSR) still lags behind due to 1) the speech and language characteristics of children's voice are substantially different from those of adults and 2) sizable open dataset for children speech is still not available in the research community. To address these problems, we launch the Children Speech Recognition Challenge (CSRC), as a flagship satellite event of IEEE SLT 2021 workshop. The challenge will release about 400 hours of Mandarin speech data for registered teams and set up two challenge tracks and provide a common testbed to benchmark the CSR performance. In this paper, we introduce the datasets, rules, evaluation method as well as baselines.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Nov 2020.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 2; 2026: 3.
8 papers.
- 2024Improving child speech recognition with augmented child-like speechcited by 7
- 2022Transfer Learning for Robust Low-Resource Children's Speech ASR with Transformers and Source-Filter Warpingcited by 6
- 2023Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End Speech Recognition Systemscited by 2
- 2025Inclusivity of AI Speech in Healthcare: A Decade Look Backcited by 2
- 2025Non-native Children's Automatic Speech Assessment Challenge (NOCASA)cited by 1
- 2026Abjad-Kids: An Arabic Speech Classification Dataset for Primary Educationcited by 0
- 2026When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschoolscited by 0
- 2026Deep Learning Techniques for Phoneme Recognition in Italian Children' s Speechcited by 0
- 2026Deep Learning Techniques for Phoneme Recognition in Italian Children' s Speech27 Sep 2026
- 2026When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools25 Mar 2026
- 2026Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education11 Mar 2026
- 2025Inclusivity of AI Speech in Healthcare: A Decade Look Back15 May 2025
- 2025Non-native Children's Automatic Speech Assessment Challenge (NOCASA)29 Apr 2025
- 2024Improving child speech recognition with augmented child-like speech12 Jun 2024
- 2023Using Data Augmentations and VTLN to Reduce Bias in Dutch End-to-End Speech Recognition Systems5 Jul 2023
- 2022Transfer Learning for Robust Low-Resource Children's Speech ASR with Transformers and Source-Filter Warping19 Jun 2022