A developer has built a high-fidelity sleep apnea and snore monitoring system using OpenAI's Whisper-v3, Librosa, and PyAudio. The system captures audio in chunks, uses audio fingerprinting to trigger…
A developer built a real-time sleep analysis system using OpenAI Whisper and Silero VAD to detect snoring and potential sleep apnea from bedroom audio. The system uses Silero VAD as a gatekeeper to fi…
A developer has built Psycho-Acoustic, a mental health monitoring tool that uses the HuBERT model, HuggingFace Transformers, and Librosa to quantify emotional states from non-verbal acoustic features.…
A developer has built a depression detection engine using Python and OpenSMILE, extracting acoustic biomarkers from speech to identify indicators of depression. The system leverages the eGeMAPS featur…
A developer has detailed a method for fine-tuning OpenAI's Whisper-v3 model to detect sleep apnea and hypopnea events from audio recordings. The approach repurposes Whisper's speech-to-text architectu…
Engineers at WellAlly Tech Blog have repurposed OpenAI's Whisper speech-to-text model into a clinical screening tool for Obstructive Sleep Apnea (OSA), which affects nearly 1 billion people worldwide.…
A developer built a sleep apnea detection pipeline using OpenAI Whisper and Librosa, combining raw signal processing with transformer-based audio analysis to identify respiratory distress patterns fro…
A data scientist improved a music genre classification model from a 0.15 F1 baseline to a 0.9031 F1 ensemble by recognizing that the Kaggle competition's test data, which consists of noisy mashups, re…