Showing eess.ASShow all
3 papers · 1 filter
eess.AS2026
Enhancing Audio Captioning with Auxiliary AudioSet Semantics
Shubham Gupta, Adarsh Arigala, Sri Rama Murty Kodukula
Automatic Audio Captioning (AAC) seeks to generate natural language descriptions of complex acoustic scenes, bridging auditory perception and language understanding. However, word-…
eess.AS2026
Pixel-TTS: Image based Text Rendering for Robust Text-to-Speech
Adarsh Arigala, Arjun Gangwar, S Umesh +1
Recent advances in pixel-based text modeling show that representing text as images enables models to exploit visual cues for language understanding. Grounding text in its visual fo…
eess.AS2026
Shared Representation Learning for Reference-Guided Targeted Sound Detection
Shubham Gupta, Adarsh Arigala, B. R. Dilleswari +1
Human listeners exhibit the remarkable ability to segregate a desired sound from complex acoustic scenes through selective auditory attention, motivating the study of Targeted Soun…