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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.
DeepBrain AI will be exhibiting at #ASUGSV in San Diego in April 4~6.
DeepBrain AI discussed PoC(demonstration) for technology introduction with relevant business departments within the BMW Group, and proposed as a possible way to introduce actual technology, such as a navigation AI guide, an in-house training AI instructor, and an AI concierge at a kiosk in the exhibition hall.
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.
We're going to make a Weekly News Video using AI Generator.
You can replicate your virtual human on your company’s CEO, a celebrity, your company’s brand ambassador, or simply an have anonymous agent if you prefer.
MoneyBrain has been selected list of outstanding AI startups in the world
With the advancements in technology, social media has become an essential part of our life. Here, visual content plays a crucial role in fulfilling our marketing goals. According to famous WordStream research, digital marketers use videos to increase revenue to 49% faster than non-video users. But people are going towards AI videos because it is difficult to create videos manually.
The principle of making an AI human is as follows. AI learns hundreds of hours of human video to learn the person's voice, tone of voice, and gestures. If you give the manuscript to the AI human who has been trained in this way, it speaks like the person in question. This includes AI speech synthesis, video synthesis, and natural language processing technology. If AI human is trained once, it can reduce the time and cost of having to record a real person every time a video is made. Depending on how it is taught, real-time communication with people is also possible. For example, an AI banker who has learned the conversation a banker has with a customer at the level of big data will be able to see consumer response tasks.
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