DeepBrain AI is focusing on enhancing AI humans by advancing technology and maximizing usability across various domains.
Through this cooperation, the two companies will create "Giga Genie AI Human," which combines the artificial intelligence of KT GiGA Genie with the virtual human of DeepBrain AI, and develop a new GiGA Genie business using it.
To dive deeper into this space, I recently sat down with Joe Murphy, who leads US business development for DeepBrainAI, to explore the business potential of virtual humans, examine the technologies that enable them, and the many challenges ahead as this approach to human-machine interaction matures and scales.
DeepBrain AI is a Korean AI startup that researches and develops conversational AI technology. They offer a wide range of AI-powered customer service products. However, their specialty is in synthetic humans that are able to respond to natural language questions. They use AI technology to offer video and speech synthesis and chatbot solutions to enterprise customers such as MBN, Metro News, LG, and KB Kookmin Bank. They showcased their AI human imbedded “AI Kiosks” at CES 2022. It leveraged the power of AI with its human-based AI avatars.
DeepBrain AI creates digital twin avatars that express the same appearance, voice, accent, and behavioral movement as real ones. With this video synthesis technology, you can either easily create videos by typing text or speak to digital twins in real-time, which will enable enterprises to engage their customers more efficiently and humanly.
Enter a host of new start-up companies all in a race to develop “Virtual Humans” or “Digital Twins.” They are creating what will most likely be the next generation of conversational interfaces based on more natural, authentic, and humanistic digital interactions.
During the actual election campaign, the PPP utilized AI Yoon Seok-Yeoul to produce personalized targets for each region into personalized videos and distributed them to party members. Which was then mounted on the large screen of the campaign car to explain local pledges.
DeepBrain AI will be exhibiting at #NAB at Las Vegas Convention Ceter in April 24~27.
DeepBrain AI will be exhibiting at #ASUGSV in San Diego in April 4~6.
Like the AdaSpeech model we looked at last time, the existing TTS adaptation method has used text-speech pair data to synthesize the voices of a specific speaker. However, since it is practically difficult to prepare data in pairs, it will be a much more efficient way to adapt the TTS model only with speech data that is not transcribed. The easiest way to access is to use the automatic speech recognition (ASR) system for transcription, but it is difficult to apply in certain situations and recognition accuracy is not high enough, which can reduce final adaptation performance. And there have been attempts to solve this problem by joint training of the TTS pipeline and the module for adaptation, which has the disadvantage of not being able to easily combine with other commercial TTS models.
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