Lucas F. E. Ashby, Travis M. Bartley, S. Clematide, L. Del Signore, Cameron Gibson, K. Gorman, Yeonju Lee-Sikka, Peter Makarov, Aidan Malanoski, Sean Miller, Omar Ortiz, R. Raff, A. Sengupta, Bora Seo, Y. Spektor, Winnie Yan
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引用次数: 10
摘要
字素到音素的转换是许多语音技术的重要组成部分，但直到最近还没有多语言的基准。SIGMORPHON多语言字素到音素转换共享任务的第二次迭代比前一年的任务(Gorman et al. 2020)有许多改进，包括额外的语言、更强的基线、三个不同可用资源数量的子任务、广泛的质量保证程序和自动错误分析。四个团队总共提交了13个系统，最多在高资源子任务中实现单词错误率的11%和低资源子任务的4%的相对降低。
Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion
Grapheme-to-phoneme conversion is an important component in many speech technologies, but until recently there were no multilingual benchmarks for this task. The second iteration of the SIGMORPHON shared task on multilingual grapheme-to-phoneme conversion features many improvements from the previous year’s task (Gorman et al. 2020), including additional languages, a stronger baseline, three subtasks varying the amount of available resources, extensive quality assurance procedures, and automated error analyses. Four teams submitted a total of thirteen systems, at best achieving relative reductions of word error rate of 11% in the high-resource subtask and 4% in the low-resource subtask.
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