{"id":"CU26053","slug":"pitch-synchronous-voice--CU26053","source":{"id":"CU26053","dataset":"techtransfer","title":"Pitch-Synchronous Voice Biomarkers for Enhanced Disease Detection","description_":"<p>This technology is a pitch-synchronous voice analysis method that separates timbre from pitch to generate more precise vocal biomarkers for non-invasive disease screening and monitoring.</p>\r\r<h2>Unmet Need: Reliable voice biomarkers that preserve pitch and timbre information</h2>\r\r<p>Voice-based diagnostic methods commonly rely on acoustic features such as Mel-frequency cepstral coefficients (MFCCs), which are calculated over fixed time windows. This approach can mix pitch and timbre information and miss subtle changes within individual voice cycles, reducing the sensitivity and reproducibility of resulting biomarkers. More precise acoustic features are needed to support reliable comparison across voice samples and improve the performance of diagnostic models.</p>\r\r<h2>The Technology: Pitch-synchronous timbre analysis for reliable voice biomarkers</h2>\r\r<p>This technology is a pitch-synchronous voice analysis method that analyzes voice signals in alignment with individual pitch periods rather than using fixed time windows. It extracts pitch-synchronous timbre vectors and instantaneous pitch information, allowing pitch and timbre characteristics to be evaluated separately while preserving fine-grained acoustic variation. The resulting features can be compared using a timbre-distance metric and used as biomarkers in voice-based screening, monitoring, and classification models.</p>\r\r<p>Demonstrated in silico with simulations and initial analyses showing enhanced feature extraction compared to traditional MFCCs.</p>\r\r<h2>Applications:</h2>\r\r<ul>\r<li>Voice-based diagnostics for neurological, psychiatric, and respiratory conditions</li>\r<li>Remote patient monitoring and telemedicine platforms</li>\r<li>Digital therapeutics and mental health monitoring tools</li>\r<li>Clinical decision-support and diagnostic software development</li>\r<li>Voice authentication and biometric security systems</li>\r<li>Research tools for voice science, speech disorders, and otolaryngology</li>\r</ul>\r\r<h2>Advantages:</h2>\r\r<ul>\r<li>Separates pitch and timbre information for more precise voice characterization</li>\r<li>Preserves fine-grained acoustic features that fixed-window methods may overlook</li>\r<li>Provides a quantitative timbre-distance metric for robust voice comparison</li>\r<li>Improves the sensitivity and reproducibility of voice-based biomarkers</li>\r<li>Generates features that can be integrated into diagnostic and classification models</li>\r<li>Supports applications across clinical diagnostics, monitoring, research, and biometrics</li>\r</ul>\r\r<h2>Lead Inventor:</h2>\r\r<p><a href=\"https://www.apam.columbia.edu/c-julian-chen\">Julian Chen, Ph.D</a></p>\r\r<h2>Patent Information:</h2>\r\r<p>Patent Pending</p>\r\r<h2>Related Publications:</h2>\r\r<ul>\r<li><a href=\"https://www.preprints.org/manuscript/202512.1974\">Chen CJ. “Pitch-Synchronous Biomarkers for Voice-Based Diagnostics: An Introduction.” Preprints.org. 2025.</a></li>\r</ul>\r\r<h2>Tech Ventures Reference:</h2>\r\r<ul>\r<li><p>IR CU26053</p></li>\r<li><p>Licensing Contact: <a href=\"mailto:techtransfer@columbia.edu\">Dovina Qu</a></p></li>\r</ul>\r\r","tags":["Acoustics","Biometrics","Feature extraction","High-throughput screening","Otorhinolaryngology","Performance indicator","Reproducibility","Telehealth","Timbre"],"file_number":"CU26053","collections":[],"meta_description":"Pitch-synchronous timbre analysis yields precise voice biomarkers for non-invasive disease screening, improving diagnostic sensitivity.","apriori_judge_output":"{\"scores\":{\"novelty\":4.0,\"potential_impact\":4.0,\"readiness\":2.0,\"scalability\":3.0,\"timeliness\":2.0},\"weighted_score\":3.25,\"risks\":[\"Early-stage (in silico) validation; clinical/real-world performance unproven\",\"Regulatory/privacy considerations for medical diagnostics\",\"Competition with established audio biomarker approaches (e.g., MFCCs)\",\"Need for robust cross-cohort validation and datasets\",\"Market adoption risk in diverse application areas\"],\"one_sentence_take\":\"Strong novelty and potential impact but early readiness and modest timeliness; requires clinical validation and regulatory navigation to realize scalable, timely commercial returns.\"}","inventors":["Julian Chengjun Chen"],"manager":"Dovina Qu","depts":["Applied Physics & Applied Math"],"divs":["Fu Foundation School of Engineering and"],"date_released":"2026-08-14"},"highlight":{},"matched_queries":null,"score":0.0}