We present ADVISER - an open-source, multi-domain dialog system toolkit that
enables the development of multi-modal (incorporating speech, text and vision),
socially-engaged (e.g. emotion recognition, engagement level prediction and
backchanneling) conversational agents. The final Python-based implementation of
our toolkit is flexible, easy to use, and easy to extend not only for
technically experienced users, such as machine learning researchers, but also
for less technically experienced users, such as linguists or cognitive
scientists, thereby providing a flexible platform for collaborative research.
Link to open-source code: this https URL

ADVISER 是一个开源、多领域的对话系统工具包，能够开发多模态（包括语音、文本和视觉）、社交互动（如情感识别、参与度预测和反馈）的交互式代理。它基于 Python 实现，灵活易用，不仅适用于机器学习研究人员等技术经验丰富的用户，也适用于语言学家或认知科学家等技术经验较少的用户，因此为协同研究提供了一种灵活的平台。