Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction

Vagrant Gautam, Wang Yau Li, Zafarullah Mahmood, Frederic Mailhot, Shreekantha Nadig, Riqiang Wang, Nathan Zhang
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引用次数: 2

Abstract

We describe three baseline beating systems for the high-resource English-only sub-task of the SIGMORPHON 2021 Shared Task 1: a small ensemble that Dialpad’s speech recognition team uses internally, a well-known off-the-shelf model, and a larger ensemble model comprising these and others. We additionally discuss the challenges related to the provided data, along with the processing steps we took.
复仇者集合!集成在字素到音素预测中的好处
我们描述了SIGMORPHON 2021共享任务1的高资源纯英语子任务的三个基线敲打系统:Dialpad语音识别团队内部使用的小型集成,一个知名的现成模型,以及一个包含这些和其他的更大的集成模型。我们还讨论了与所提供的数据相关的挑战,以及我们采取的处理步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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