3 accepted papers
Segment-level spoofed speech detection focuses on recognizing fake or synthetic segments within identifying partially spoofed speech. Nevertheless, existing models for this segment-level task usually overlook latent local relationships between fake and bona fide segments, and further, a lack of inte…
In recent years, multimodal emotion recognition (MER) has gained significant attention due to its potential to integrate information from diverse signals. However, existing methods often struggle to effectively capture complex interactions and contextual information both inter- and intra-modalities,…
Zero-shot Speech Emotion Recognition (SER) enables machines to perceive unseen-emotional speech without knowing any samples from these emotional states, which is helpful in audio-based autonomous affective computing. However, existing works on zero-shot SER directly employ original prototypes and on…