Speech Emotion Recognition
This project evaluates various emotional speech datasets, and training machine learning models on these datasets.
From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm
The goal is to build up an end-to-end neural based reasoning engine. The existing neural based models lack a reasoning engine, and they are not end-to-end training process. The repository also incorporates extra code for research as part of future work.
Open Domain Interviewing Agent
[et_pb_section fb_built=”1″ _builder_version=”4.6.0″ _module_preset=”default”][et_pb_row _builder_version=”4.6.0″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.6.0″ _module_preset=”default”][et_pb_text _builder_version=”4.6.0″ _module_preset=”default”] Interviewing is a critical human-to-human task in multiple industries, including journalism, human resources, and qualitative research fieldwork. Interviewing can be broadly defined as an interactive goal-orientated knowledge acquisition task … Read More