• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computer speech and language >Monaural speech separation and recognition challenge
【24h】

Monaural speech separation and recognition challenge

机译：单声道语音分离和识别挑战

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Robust speech recognition in everyday conditions requires the solution to a number of challenging problems, not least the ability to handle multiple sound sources. The specific case of speech recognition in the presence of a competing talker has been studied for several decades, resulting in a number of quite distinct algorithmic solutions whose focus ranges from modeling both target and competing speech to speech separation using auditory grouping principles. The purpose of the monaural speech separation and recognition challenge was to permit a large-scale comparison of techniques for the competing talker problem. The task was to identify keywords in sentences spoken by a target talker when mixed into a single channel with a background talker speaking similar sentences. Ten independent sets of results were contributed, alongside a baseline recognition system. Performance was evaluated using common training and test data and common metrics. Listeners' performance in the same task was also measured. This paper describes the challenge problem, compares the performance of the contributed algorithms, and discusses the factors which distinguish the systems. One highlight of the comparison was the finding that several systems achieved near-human performance in some conditions, and one out-performed listeners overall.
机译：在日常情况下要实现强大的语音识别，就需要解决许多难题，尤其是能够处理多种声源的能力。在有竞争的谈话者在场的情况下，语音识别的特殊情况已经研究了数十年，从而产生了许多非常独特的算法解决方案，其解决方案的范围从建模目标语音和竞争语音到使用听觉分组原理的语音分离。单声道语音分离和识别挑战的目的是允许对竞争性说话者问题的技术进行大规模比较。任务是识别目标谈话者说出的句子中的关键字，当背景谈话者说出类似的句子时，将其与单个频道混合使用。与基线识别系统一起，贡献了十组独立的结果。使用通用的培训和测试数据以及通用的指标来评估性能。还评估了听众在同一任务中的表现。本文描述了挑战性问题，比较了算法的性能，并讨论了区分系统的因素。比较的一大亮点是发现一些系统在某些条件下可以达到接近人类的表现，而听众的表现要优于整体。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号