Papers

SC-ERM: Speaker-Centric Learning for Speech Emotion Recognition

International Conference
2021~
작성자
dsp
작성일
2024-01-22 16:12
조회
1736
Authors : Juhwan Yoon, Seyun Um, Woo-Jin Chung, Hong-Goo Kang

Year : 2024

Publisher / Conference : International Conference on Electronics, Information, and Communication (ICEIC)

Research area : Speech Signal Processing, Etc

Presentation/Publication date : 2024.01.29

Presentation : Poster

We propose a novel deep learning-based model for speech emotion recognition, SC-ERM, which focuses on speakercentric learning. This model effectively estimates emotions and demonstrates the ability to generalize to unseen speakers. Our proposed model utilizes speaker-specific emotion characteristics in two steps: first, it extracts emotion representations using an emotion encoder, and second, it employs speaker-centric learning by incorporating speaker style embeddings as a condition through a speaker mask generator. We evaluate our model’s performance using an emotional dataset and find that it demonstrates outstanding performance in recognizing emotional states. Notably, it achieves a 9.2% relative improvement in accuracy compared to the baseline when classifying emotions for speakers not seen during training. Overall, our model demonstrates promising performance in accurately identifying emotions across a range of emotional expressions, irrespective of the speakers involved.
전체 368
358 International Conference Woo-Jin Chung, Hong-Goo Kang "Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator" in INTERSPEECH, 2024
357 International Conference Juhwan Yoon, Woo Seok Ko, Seyun Um, Sungwoong Hwang, Soojoong Hwang, Changhwan Kim, Hong-Goo Kang "UNIQUE : Unsupervised Network for Integrated Speech Quality Evaluation" in INTERSPEECH, 2024
356 International Conference Yanjue Song, Doyeon Kim, Hong-Goo Kang, Nilesh Madhu "Spectrum-aware neural vocoder based on self-supervised learning for speech enhancement" in EUSIPCO, 2024
355 International Conference Hyewon Han, Naveen Kumar "A cross-talk robust multichannel VAD model for multiparty agent interactions trained using synthetic re-recordings" in Hands-free Speech Communication and Microphone Arrays (HSCMA, Satellite workshop in ICASSP), 2024
354 International Conference Yanjue Song, Doyeon Kim, Nilesh Madhu, Hong-Goo Kang "On the Disentanglement and Robustness of Self-Supervised Speech Representations" in International Conference on Electronics, Information, and Communication (ICEIC) (*awarded Best Paper), 2024
353 International Conference Yeona Hong, Miseul Kim, Woo-Jin Chung, Hong-Goo Kang "Contextual Learning for Missing Speech Automatic Speech Recognition" in International Conference on Electronics, Information, and Communication (ICEIC), 2024
352 International Conference Juhwan Yoon, Seyun Um, Woo-Jin Chung, Hong-Goo Kang "SC-ERM: Speaker-Centric Learning for Speech Emotion Recognition" in International Conference on Electronics, Information, and Communication (ICEIC), 2024
351 International Conference Hejung Yang, Hong-Goo Kang "On Fine-Tuning Pre-Trained Speech Models With EMA-Target Self-Supervised Loss" in ICASSP, 2024
350 International Journal Zainab Alhakeem, Se-In Jang, Hong-Goo Kang "Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification" in Transactions on Audio, Speech, and Language Processing, 2024
349 International Conference Hong-Goo Kang, W. Bastiaan Kleijn, Jan Skoglund, Michael Chinen "Convolutional Transformer for Neural Speech Coding" in Audio Engineering Society Convention, 2023