Real-Time SSL Sperm Whale Click Detector: Interactive Web Demo

摘要

Reliable, real-time detection of sperm-whale clicks is essential yet difficult in noisy ocean audio streams. We present the first browser-based pipeline that combines self-supervised embeddings with a BiLSTM to label clicks at millisecond resolution. The system attains 99% F1 on the Watkins benchmark, reduces false alarms by 60% against the best published baseline, and analyses one-second segments in ~40 ms on a consumer GPU. An interactive UI overlays multi-algorithm detections on waveform and spectrogram views with drag-zoom and live streaming. Code, pretrained weights and the public demo are released to advance bioacoustic event detection.