5 accepted papers
Neural Speech Codecs face a fundamental trade-off at low bitrates: preserving acoustic fidelity often compromises semantic richness. To address this, we introduce SACodec, a novel codec built upon an asymmetric dual-quantizer that employs our proposed Semantic Anchoring mechanism. This design strate
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,…
Understanding multimodal humor and sarcasm detection remains a key challenge in artificial intelligence. Despite recent advances, inconsistencies in feature extraction, evaluation methods, and experimental setups have hindered fair comparisons across different approaches. To address this issue, we p…
Effective extraction of paralinguistic features from speech, such as emotion, accent, and age, remains a challenging task in speech processing. Traditional methods typically address each type of paralinguistic information with separate classification or regression tasks—e. g., emotion recognition, a…
Automatically detecting Alzheimer’s Disease (AD) from spontaneous speech plays an important role in its early diagnosis. Recent approaches highly rely on the Transformer architectures due to its efficiency in modelling long-range context dependencies. However, the quadratic increase in computational…