賀！#國際會議 再獲捷報！
今年首度移師澳門舉辦的 #亞太訊號與資訊處理協會 #年度高峰研討會， BIIC Lab 將以兩篇祈均老師、惶振學長與國內外重要學者的共同研究成果獲選參加！

兩篇論文的領域都是實驗室的老本行——「語音情緒辨識」（#SER）。
一篇是運用 #ChatGPT 在情緒標記來提升模型的表現，
另一篇則是重新檢視了 #編解碼器 對 SER 的影響，提醒我們音訊工程在辨識中亦扮演重要角色。

更詳細的介紹，敬請期待後續分享！

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This year, for the first time, the #APSIPA #ASC is being held in Macau,
and BIIC Lab has been selected to present two papers,
which are joint research efforts by Professor LEE Chi-Chun, BIIC Lab allumni CHOU Huang-Cheng,
and leading scholars from both Taiwan and abroad!

Both papers are focused on one of our lab's essential research cores—#SpeechEmotionRecognition (#SER).
One explores how using #ChatGPT for emotion labeling can improve model performance,
while the other re-examines the impact of #codecs on SER, highlighting the crucial role audio engineering plays in recognition.

Stay tuned for more detailed introductions in our upcoming posts!

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Papers accepted by #APSIPA #ASC #2024
作者群 AUTHOURS	論文 PAPER
[1] Haibin Wu, Huang-Cheng Chou, Kai-Wei Chang, Lucas Goncalves, Jiawei Du, Jyh-Shing Roger Jang, Chi-Chun Lee, Hung-yi Lee	"Empower Typed Descriptions by Large Language Models for Speech Emotion Recognition"
[2] Wenze Ren, Yi-Cheng Lin, Huang-Cheng Chou, Haibin Wu, Yi-Chiao Wu, Hung-yi Lee, Chi-Chun Lee, Hsin-Min Wang, Yu Tsao	"EMO-Codec: An In-Depth Look at Emotion Preservation Capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations"