EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026
中文摘要
回顾 EmoNet 情感识别模型，探讨其成果及大语言模型带来的变革。
English Summary
A retrospective on EmoNet, a speaker-aware emotion recognition model, discussing its achievements and the LLM-driven shift in the field.
原文节选
A retrospective on my MS thesis, the leaderboard it placed on, and the LLM shift that has reshaped the field since. The post EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026 appeared first on Towards Data Science.