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Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
Some users have also created AI virtual assistants using 15.ai and external voice control software. [51] [52] Text-to-speech is also used in second language acquisition. Voki, for instance, is an educational tool created by Oddcast that allows users to create their own talking avatar, using different accents.
Udio is a generative artificial intelligence model that produces music based on simple text prompts. It can generate vocals and instrumentation. It can generate vocals and instrumentation. Its free beta version was released publicly on April 10, 2024.
ElevenLabs is primarily known for its browser-based, AI-assisted text-to-speech software, Speech Synthesis, which can produce lifelike speech by synthesizing vocal emotion and intonation. [9] The company states that its models are trained to interpret the context in the text, and adjust the intonation and pacing accordingly. [10]
It is necessary to collect clean and well-structured raw audio with the transcripted text of the original speech audio sentence. Second, the text-to-speech model must be trained using these data to build a synthetic audio generation model. Specifically, the transcribed text with the target speaker's voice is the input of the generation model.
15.ai, a free text-to-speech web application launched in March 2020, was an early development in the AI boom that used AI for voice synthesis. The platform could generate convincing character voices using as little as 15 seconds of training data. [50]
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