结合自动语音识别的语音情感识别
Speech Emotion Recognition with ASR Integration
AI总结：
本研究通过整合自动语音识别技术提升语音情感识别的鲁棒性、可扩展性和实用性。
摘要：
语音情感识别（SER）在理解人类交流、构建情感智能系统以及作为人工通用智能（AGI）发展的基础组件中起着关键作用。然而，在现实世界、自发性和低资源条件下部署SER仍然是一项重大挑战，这归因于情感表达的复杂性以及当前语音和语言技术的限制。本论文研究了将自动语音识别（ASR）整合到SER中的方法，旨在提高从口语中识别情绪的鲁棒性、可扩展性和实际应用性。
英文摘要：
Speech Emotion Recognition (SER) plays a pivotal role in understanding human communication, enabling emotionally intelligent systems, and serving as a fundamental component in the development of Artificial General Intelligence (AGI). However, deploying SER in real-world, spontaneous, and low-resource scenarios remains a significant challenge due to the complexity of emotional expression and the limitations of current speech and language technologies. This thesis investigates the integration of Automatic Speech Recognition (ASR) into SER, with the goal of enhancing the robustness, scalability, and practical applicability of emotion recognition from spoken language.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
