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eess.AS2026
Text-Prompted CLAP: Learning Query-Conditioned Audio Representations via Contrastive Learning
Mohan Li, Rama Doddipatla, Philip C. Woodland
Contrastive Language-Audio Pretraining (CLAP) learns aligned text and audio representations in a shared embedding space. However, independent encoding of each modality limits its a…
eess.AS2024
WHISMA: A Speech-LLM to Perform Zero-shot Spoken Language Understanding
Mohan Li, Cong-Thanh Do, Simon Keizer +3
Speech large language models (speech-LLMs) integrate speech and text-based foundation models to provide a unified framework for handling a wide range of downstream tasks. In this p…
eess.AS2024
Prompting Whisper for QA-driven Zero-shot End-to-end Spoken Language Understanding
Mohan Li, Simon Keizer, Rama Doddipatla
Zero-shot spoken language understanding (SLU) enables systems to comprehend user utterances in new domains without prior exposure to training data. Recent studies often rely on lar…