Tracter: a lightweight dataflow framework
Philip N. Garner, John Dines · 2010
Tracter is introduced as a dataflow framework particularly use-ful for speech recognition. It is designed to work on-line in real-time 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 commer-cial and open source packages. Some design aspects and capa-bilities are discussed. Finally, a fairly large processing graph incorporating voice activity detection and feature extraction is presented as an example of Tracter’s capabilites. Index Terms: Dataflow, speech recognition, open source. 1.