TL;DR本文介绍了一个使用上下文偏置列表对 ASR 进行计算的公共基准任务,并提出了一种替代拼写预测模型,它相对于不使用替代拼写的上下文偏置提高了罕见单词的召回率和词汇外单词的召回率。
Abstract
contextual asr, which takes a list of bias terms as input along with audio, has drawn recent interest as ASR use becomes more widespread. We are releasing contextual biasing lists to accompany the Earnings21 data