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Tracter: A Lightweight Dataflow Framework

机译:拖拉机:轻量级数据流框架

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摘要

Tracter is introduced as a dataflow framework particularly useful for speech recognition. It is designed to work on-line in realtime as well as off-line, and is the feature extraction means for the Juicer transducer based decoder. This paper places Tracter in context amongst the dataflow literature and other commercial and open source packages. Some design aspects and capabilities are discussed. Finally, a fairly large processing graph incorporating voice activity detection and feature extraction is presented as an example of Trader's capabilites.
机译:介绍了Tracter作为数据流框架,该框架对于语音识别特别有用。它设计用于实时和脱机在线工作,并且是基于Juicer换能器的解码器的特征提取工具。本文将Tracter放在数据流文献以及其他商业和开源软件包中。讨论了一些设计方面和功能。最后,作为交易员能力的一个示例,介绍了一个包含语音活动检测和特征提取的相当大的处理图。

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