How Language Understanding is Key to Conversational AI That's More Human™

Understanding and responding accurately to complex, compound queries and the context of conversations is key to delivering voice experiences that are more human™. Discover how SoundHound's proprietary technologies, including Speech-to-Meaning®, Deep Meaning Understanding®, and Context Aware™ are processing speech more like the human brain than any other voice AI technology available. Take a deep dive into the technology behind SoundHound's conversational AI and understand why the quality of voice experiences differ from one technology or platform provider to the next. Get the insider's view into the most recent advances in voice technology—including ASR, NLU, Wake Words, Neural Networks, Collective AI®, and Edge connectivity options. Discover why these key technologies are behind the innovations that are driving brands across industries and around the globe to deliver custom, branded voice experiences that are faster, more accurate, and more human—improving the customer experience and driving real revenue to the bottom line. Key Takeaways: -Take a deep dive into SoundHound's voice AI technology -Get to know the difference between an independent platform and a "big tech" solution -Discover how our proprietary technologies work together to create conversational AI -Understand why an extensive library of domains provides a better user experience Panelists: 1. Majid Emami, Chief Science Officer and SVP, Engineering, SoundHound 2. Joe Aung, Vice President of Engineering, SoundHound 3. Chris Schindler, Senior Director of Product Engineering, SoundHound Moderator: Arvind Rangarajan, Director Product Marketing, SoundHound