Challenges of Doing Deep Learning with Audio
In the last few years, Artificial Intelligence (AI) and Deep Learning have radically changed how Audio processing, but the impact of these advances gets eclipsed by the rise of AI technologies for image and video processing. We plan to cover recent breakthroughs in audio processing, Challenges in Deep Learning for Audio and discuss broader trends in AI for audio.
Vivek Kumar is Director, Applied AI at Dolby Laboratories where he leads a team of researchers and developers focused on creating technology based on Deep Learning for speech, NLP and Audio. He is also responsible for understanding the implications of recent advances and developing an AI strategy for Dolby. The team he previously led was responsible for the development of DD+, Dolby TrueHD and Dolby Atmos for Home, the next-generation audio and surround sound technologies for which Dolby is widely recognized. Vivek is a lifelong maker, and his compulsion to “build, break and hack” is a trait that extends beyond his workday. As an Angel Investor (https://www.crunchbase.com/person/vivek-kumar-a65c ), he has invested in several early-stage ventures and continues to provide mentoring and strategy development for startups. Passionate about creative applications of Deep Learning, in 2015 he created ColorizeBot ( https://twitter.com/ColorizeBot), a twitter bot to colorize black & white photos.