NVIDIA Tacotron 2 is a generative AI model designed for text-to-speech synthesis. It converts written text into natural-sounding human speech using deep learning techniques.
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About NVIDIA Tacotron 2
NVIDIA Tacotron 2 was developed by NVIDIA researchers and released in 2017. It aimed to improve the quality and naturalness of text-to-speech systems by leveraging advancements in deep learning and neural networks.
Strengths of NVIDIA Tacotron 2 included high-quality, natural-sounding speech synthesis and efficient processing. Weaknesses involved potential challenges with handling diverse accents and uncommon words. Competitors included Google's WaveNet and Amazon Polly.
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How to hire a NVIDIA Tacotron 2 expert
A NVIDIA Tacotron 2 expert must have skills in deep learning, neural networks, natural language processing (NLP), Python programming, and familiarity with TensorFlow or PyTorch frameworks.
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USA
$ 224K
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$ 127K
Employer Cost
$ 97K
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