2 citations · 2 across the 6 of their papers we have counts for
7 papers
CRAF: Cross-View Residual-Aware Fusion for Deepfake Speech Detection
Minh-Xuan Phan, Khalid Zaman, Candy Olivia Mawalim +1
Recent advances in speech synthesis and voice conversion have made deepfake speech increasingly realistic, making generalization to unseen spoofing attacks a critical challenge. Pr…
XPASS-Vis: A Dataset for Cross-Domain Personalized Image Aesthetic Assessment
Takato Hayashi, Hiroaki Takahara, Candy Olivia Mawalim +4
Personalized image aesthetic assessment (PIAA) seeks to model, at the individual level, the subjective nature of aesthetic judgments toward artworks and photographs. Aesthetic pref…
Technical Report of Nomi Team in the Environmental Sound Deepfake Detection Challenge 2026
Candy Olivia Mawalim, Haotian Zhang, Shogo Okada
This paper presents our work for the ICASSP 2026 Environmental Sound Deepfake Detection (ESDD) Challenge. The challenge is based on the large-scale EnvSDD dataset that consists of…
Modeling Multi-Level Hearing Loss for Speech Intelligibility Prediction
Xiajie Zhou, Candy Olivia Mawalim, Masashi Unoki
The diverse perceptual consequences of hearing loss severely impede speech communication, but standard clinical audiometry, which is focused on threshold-based frequency sensitivit…
Detecting Spoof Voices in Asian Non-Native Speech: An Indonesian and Thai Case Study
Aulia Adila, Candy Olivia Mawalim, Masashi Unoki
This study focuses on building effective spoofing countermeasures (CMs) for non-native speech, specifically targeting Indonesian and Thai speakers. We constructed a dataset compris…
WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan +48
Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate th…
Improving Security in McAdams Coefficient-Based Speaker Anonymization by Watermarking Method
Candy Olivia Mawalim, Masashi Unoki
Speaker anonymization aims to suppress speaker individuality to protect privacy in speech while preserving the other aspects, such as speech content. One effective solution for ano…