Rita Singh

Research Professor, Language Technologies Institute

My focus is on the development of technology for the automated discovery, measurement, representation and learning of the information encoded in voice signal for optimal voice intelligence.

I began working in the area of computer speech recognition and general audio processing in 1997. Until 2014, I worked on a wide range of topics, including algorithms that made speech processing systems completely generalizable (agnostic to language), algorithms that enabled automated discovery and learning of information from speech, algorithms that could process speech using minimal external (human-generated) knowledge etc. My goal was to enable greater automation, create more powerful search strategies and more scaleable learning algorithms for voice processing systems, and to find ways to make them work more accurately in high-noise and other kinds of complex acoustic environments.

In December 2014, I began building up the science of profiling humans from their voice. This involves the concurrent deduction of myriad human parameters from voice. Like the DNA and fingerprints, every human's voice is unique. It carries more information than we realize (or can hear). It carries signatures of the speaker's physical, physiological, medical, psychological, sociological, behavioral and environmental parameters, among other things. Profiling is based on quantitative discovery of information from the voice signal, guided by the intricacies of the physics and bio-mechanics of human voice production. Because it focuses on the voice signal, and not its semantic or pragmatic content, it is agnostic to language.

Currently my work includes the design of powerful AI systems to explore the depths of information in the human voice. Examples include systems for genetic discovery, systems for biomarker discovery and systems for other kinds of explorations into the human physical state and psyche, including emotions and personality, through the portal of voice.