![]() Finally, we show that inference with our system can be performed faster than real time and describe optimized WaveNet inference kernels on both CPU and GPU that achieve up to 400x speedups over existing implementations. By using a neural network for each component, our system is simpler and more flexible than traditional text-to-speech systems, where each component requires laborious feature engineering and extensive domain expertise. However, with deep learning and artificial neural networks on the rise, it’s quite possible to convert text to speech on your own computer. With TTS, you can convert written content, such as scripts or articles, into audio format, allowing users to listen to the text instead of reading it. ![]() It uses artificial intelligence (AI) algorithms to generate a natural-sounding human voice that reads the text aloud. For the audio synthesis model, we implement a variant of WaveNet that requires fewer parameters and trains faster than the original. A few years ago, the idea of text-to-speech software would have been laughable, if not impossible. Text-to-speech (TTS) is a technology that converts written text into spoken words. For the segmentation model, we propose a novel way of performing phoneme boundary detection with deep neural networks using connectionist temporal classification (CTC) loss. The system comprises five major building blocks: a segmentation model for locating phoneme boundaries, a grapheme-to-phoneme conversion model, a phoneme duration prediction model, a fundamental frequency prediction model, and an audio synthesis model. Deep Voice lays the groundwork for truly end-to-end neural speech synthesis. ![]() It can read aloud PDFs, websites, and books using natural AI voices. Arik and 11 other authors Download PDF Abstract:We present Deep Voice, a production-quality text-to-speech system constructed entirely from deep neural networks. What is text to speech Text to speech (TTS) is a technology that converts text into spoken audio. Download a PDF of the paper titled Deep Voice: Real-time Neural Text-to-Speech, by Sercan O.
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