Dr. Majid Emami serves as Chief Science Officer (CSO) at SoundHound AI Inc. (NASDAQ: SOUN), where he leads the company's cutting-edge research and development in voice-enabled artificial intelligence. With over two decades of experience in speech recognition, natural language processing, and machine learning, Dr. Emami has been instrumental in advancing conversational AI technologies. He holds a PhD in Electrical and Computer Engineering from the University of Toronto, where his dissertation focused on statistical models for speech recognition, laying the foundation for his distinguished career. Prior to joining SoundHound AI, Dr. Emami held senior research positions at leading tech giants, including Google, where he spearheaded projects on large-scale deep neural networks for acoustic modeling and end-to-end speech systems, contributing to breakthroughs in multilingual voice recognition. At Nuance Communications, he developed innovative hybrid DNN-HMM architectures that improved accuracy in noisy environments, earning him multiple patents and industry accolades. His work has resulted in over 50 publications in top conferences like Interspeech and ICASSP, and he has been recognized as a key innovator in the field by IEEE and other prestigious organizations. At SoundHound AI, Dr. Emami drives the scientific strategy behind the Houndify platform and proprietary Speech-to-Meaning technology, enabling real-time, context-aware voice interactions for automotive, IoT, and enterprise applications. Under his leadership, the company has achieved significant advancements in low-latency voice AI, powering partnerships with major brands like Honda, Pandora, and Chipotle. His vision continues to position SoundHound AI at the forefront of the generative AI revolution in audio processing.