Anastasia Tretiak is a distinguished technologist, entrepreneur, and leader in the field of Artificial Intelligence, with a strong focus on speech synthesis, voice cloning, and AI ethics. She is widely recognized as the co-founder and former CTO of Respeecher, a pioneering company that developed cutting-edge voice conversion technology used in major Hollywood productions, gaming, and by content creators. Her work has significantly advanced the capabilities of creating realistic synthetic voices. More recently, Anastasia has taken on roles such as Head of AI at SQUAD and is the CEO & Co-founder of Neural Network Integrity, a venture focused on AI safety, watermarking, and detecting AI-generated content to combat deepfakes and ensure responsible AI deployment. She is a vocal advocate for ethical AI development and a frequent speaker at international conferences, sharing her expertise on deep learning, AI innovation, and the societal impact of these technologies.
Anastasia Tretiak's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded and led the technological vision for Respeecher, developing groundbreaking voice cloning technology that gained international acclaim and was used in high-profile projects like Disney's 'The Mandalorian' and 'Obi-Wan Kenobi'.
Recognized by Forbes for her impactful contributions to the technology sector through her innovative work at Respeecher and advancements in AI-driven voice synthesis.
Founded Neural Network Integrity to address critical challenges in AI safety, focusing on developing tools for watermarking and detecting AI-generated content to ensure authenticity and trust in digital media.
Leads AI initiatives at SQUAD, focusing on applying advanced artificial intelligence techniques to enhance their products and services in the tech landscape.
Frequently invited to speak at global technology conferences and forums (e.g., Web Summit, CogX) to discuss advancements in AI, voice technology, deepfakes, and the importance of ethical considerations in AI development.
Pioneered techniques in deep learning for voice conversion that produce highly natural and emotionally resonant synthetic voices, pushing the boundaries of what's possible in the field.
Ternopil's'kij Deržavnij Pedagogicnij Universitet im. 'V. Hnatjuk' - Year 2012
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