Deep Residual Local Feature Learning for Speech Emotion Recognition. - Sattaya Singkul; Thakorn Chatchaisathaporn; Boontawee Suntisrivaraporn; Kuntpong Woraratpanya (ICONIP (1), 2020)

Parsing Thai Social Data: A New Challenge for Thai NLP. - Sattaya Singkul; Borirat Khampingyot; Nattasit Maharattamalai; Supawat Taerungruang; Tawunrat Chalothorn (CoRR, 2020)

Real-Time End-to-End Speech Emotion Recognition with Cross-Domain Adaptation. - Konlakorn Wongpatikaseree; Sattaya Singkul; Narit Hnoohom; Sumeth Yuenyong (Big Data Cogn. Comput., 2022)

Residual, Mixer, and Attention: The Three-way Combination for Streaming Wake Word Detection Framework. - Sattaya Singkul; Theerat Sakdejayont; Tawunrat Chalothorn (APSIPA ASC, 2023)

An Enhanced Multimodal Negative Feedback Detection Framework with Target Retrieval in Thai Spoken Audio. - Pantid Chantangphol; Sattaya Singkul; Thanawat Lodkaew; Nattasit Maharattamalai; Atthakorn Petchsod; Theerat Sakdejayont; Tawunrat Chalothorn (ICME Workshops, 2024)

End-to-End Thai Text-to-Speech with Linguistic Unit. - Kontawat Wisetpaitoon; Sattaya Singkul; Theerat Sakdejayont; Tawunrat Chalothorn (ICMR, 2024)

Teacher-to-Teacher: Harmonizing Dual Expertise into a Unified Speech Emotion Model. - Sattaya Singkul; Sumeth Yuenyong; Konlakorn Wongpatikaseree (SMC, 2024)