The SLT 2021 children speech recognition challenge: Open datasets, rules\n and baselines
Journal: arXiv (Cornell University)
Year: 2020

Automatic speech recognition (ASR) has been significantly advanced with the\nuse of deep learning and big data. However improving robustness, including\nachieving equally good performance on diverse speakers and accents, is still a\nchallenging problem. In particular, the performance of children speech\nrecognition (CSR) still lags behind due to 1) the speech and language\ncharacteristics of children's voice are substantially different from those of\nadults and 2) sizable open dataset for childr