Profiling Humans from Their Voice: A Journey from the Past to Future Generation Technologies
Abstract: In this talk, we will explore the fascinating domain of human voice profiling, a field at the confluence of voice forensics and artificial intelligence (AI) that I have been developing since 2014. The human voice serves as a unique and dynamic biometric signature, rich in personal information and responsive to a variety of influencing factors. This presentation will chart the evolution of voice profiling techniques—from traditional signal processing to advanced AI-driven methods—highlighting the key methodologies used to delve deeper and deeper into the human persona through voice. These methodologies essentially emerge by connecting the dots between a wide range of areas—from physics and biomechanics to machine learning and AI, to cytogenetics and genomics. As we navigate through the complexities and mysteries of the human voice, as a biometric identifier and a medium to infer the speaker's state, we uncover its profound implications for future human-machine interactions. As the world progresses towards Artificial General Intelligence (AGI) — we also speak of its physical embodiments. We will discuss why the science of human profiling is expected to play a pivotal role in embodied AGI systems of the future.
Date and Time
Location
Hosts
Registration
- Date: 01 Mar 2024
- Time: 12:00 PM to 01:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- 130 North Bellefield Ave.
- Pittsburgh, Pennsylvania
- United States
- Room Number: Conference Rooms
- Starts 25 February 2024 03:40 PM
- Ends 01 March 2024 11:40 AM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Rita Singh of Carnegie Mellon University
Biography:
Bio: Rita Singh is an Associate Research Professor at the CMU’s School of Computer Science/Language Technologies Institute, with affiliations to three other departments. At CMU, she leads the Center for Voice Intelligence and Security (CVIS: http:// cvis.cs.cmu.edu/), and co-leads the Machine Learning for Signal Processing and Robust Speech Processing research groups. She has worked on speech and audio processing for over two decades, focusing on developing the science of profiling humans from their voice, a niche area at the intersection of Artificial Intelligence and Voice Forensics. The technology pioneered by her group has led to three world firsts: the world’s first voice-based profiling system, demonstrated live at the World Economic Forum; the world’s first instance of human voice – that of the artist Rembrandt – generated based on evidence from facial images; the first voice-based detection system for Covid-19. She is the author of the book “Profiling Humans from their Voice,” published by Springer-Nature in 2019.