6 papers
DRONEAUDIONET: Noise Suppression for Drone Audition-based Search and Rescue
Chitralekha Gupta, Soundarya Ramesh, Yifei Luo +1
Microphones mounted on UAVs enable aerial acoustic scene analysis applications such as search-and-rescue, wildlife monitoring, and industrial inspection. However, drone rotor noise…
Beyond Descriptions: A Generative Scene2Audio Framework for Blind and Low-Vision Users to Experience Vista Landscapes
Chitralekha Gupta, Jing Peng, Ashwin Ram +3
Current scene perception tools for Blind and Low Vision (BLV) individuals rely on spoken descriptions but lack engaging representations of visually pleasing distant environmental l…
Feeling the Facts: Real-time Wearable Fact-checkers Can Use Nudges to Reduce User Belief in False Information
Chitralekha Gupta, Nadia Victoria Aritonang, Dixon Prem Daniel Rajendran +3
Misinformation can spread rapidly in everyday conversation, where pausing to verify is not always possible. We envision a wearable system that bridges the timing gap between hearin…
DroneAudioset: An Audio Dataset for Drone-based Search and Rescue
Chitralekha Gupta, Soundarya Ramesh, Praveen Sasikumar +2
Unmanned Aerial Vehicles (UAVs) or drones, are increasingly used in search and rescue missions to detect human presence. Existing systems primarily leverage vision-based methods wh…
Towards Temporally Explainable Dysarthric Speech Clarity Assessment
Seohyun Park, Chitralekha Gupta, Michelle Kah Yian Kwan +3
Dysarthria, a motor speech disorder, affects intelligibility and requires targeted interventions for effective communication. In this work, we investigate automated mispronunciatio…
Factually: Exploring Wearable Fact-Checking for Augmented Truth Discernment
Chitralekha Gupta, Hanjun Wu, Praveen Sasikumar +3
Wearable devices are transforming human capabilities by seamlessly augmenting cognitive functions. In this position paper, we propose a voice-based, interactive learning companion…