We present an improvement to our previous work to create a toolkit for integrating automated speech recognition, prosodic feature analysis, and machine learning to create models for identifying and classifying speech characteristics such as filled pauses. The toolkit provides a modular and extensible platform for intaking, analyzing, and formatting data for use in a wide variety of other tools.

Index Terms: speech recognition, machine learning, toolkit, prosody