DeepBrain AI stands out as a leader in the field. With a strong presence across multiple sectors, including text, image, audio, chatbot, and video.
Can 'DeepBrain AI' lead this industry? DeepBrain AI could lead the text-to-speech industry by offering innovative and high-quality technology.
Text-to-speech (TTS) technology has been around for many years, but recent advances in artificial intelligence (AI) have made it more powerful and versatile than ever before. With TTS technology, written text can be converted into spoken words in a variety of different languages and voices, making it a valuable tool in a wide range of applications.
We live in an era where online video viewing has become the norm in our lives. Google statistics show that every minute 300 hours of video is uploaded to YouTube (YouTube), but the amount of video is enormous.
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.
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The person on the screen created by DeepBrain AI becomes an announcer who delivers news 24/7 and a YouTube creator who communicates with viewers in real time. Sometimes we imitate people who are familiar to us.
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.
AdaSpeech is a TTS model that has the ability to adapt to new users while making good use of the advantages of FastSpeech, which has previously improved speed with parallel speech synthesis.
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