collaborators

13 papers

eess.AS2026

AMECxSV: Adaptive Metadata-Driven Embedding-Fusion Calibration for X-Lingual Speaker Verification

Xin Wei, Shi He, Yihe Yuan +3

In X-lingual automatic speaker verification (ASV), fixed front-end scores vary in reliability with language match, duration, and score source. We propose AMECxSV, an adaptive metad…

cs.AI2026

Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary Investigation in Multi-Modality Perspectives

Hanie Kang, Huang-Cheng Chou, Sudarsana Reddy Kadiri +1

Automatic depression detection from clinical interviews typically models the semantic content and acoustic characteristics of participant speech. However, the interactional timing…

eess.AS2026

Layer-wise Cross-Lingual Depression Detection from Speech: Analysis with Contrastive Alignment

Anisha Pattanayak, Hanie Kang, Huang-Cheng Chou +2

Significant disparities exist in the diagnosis and clinical presentation of depression across different linguistic populations. Speech-based depression detection performs well mono…

eess.AS2026

Speaker-Aware Temporal Aggregation Strategies on Segment Representations for Depression Detection in Dyadic Interaction: A Benchmark Study

Anisha Pattanayak, Huang-Cheng Chou, Shrikanth Narayanan +1

Speech-based depression detection compresses features from short audio segments into one speaker-level decision, a step called temporal aggregation rarely studied on its own. Most…

cs.CL2026

TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild

Kai-Wei Chang, Yi-Cheng Lin, Huang-Cheng Chou +9

Speech technologies have advanced rapidly and serve diverse populations worldwide. However, many languages remain underrepresented due to limited resources. In this paper, we intro…

eess.AS2026

Speaker Identity in Non-Verbal Vocalizations: Conditional Distillation and Mixture of Experts Approach

Tzu-Chieh Wei, Yi-Cheng Lin, Huang-Cheng Chou +4

As expressive text-to-speech (TTS) and voice conversion (VC) systems increasingly generate non-verbal vocalizations (NVVs) to enhance naturalness, reliable speaker verification (SV…