Tacotron 2 2 is a neural network architecture for speech synthesis directly from text. The Tacotron 2 and WaveGlow model form a TTS system that enables users to synthesize natural sounding speech from raw transcripts without any additional prosody information.
Additionally, we developed a Jupyter notebook for users to create their own container image, then download the dataset and reproduce the training and inference results step-by-step. All of the scripts to reproduce the results have been published on GitHub in our NVIDIA Deep Learning Examples repository, which contains several high-performance training recipes that use Tensor Cores. He is often called England’s national poet and the ‘Bard of Avon’.”Īfter following the steps in the Jupyter notebook, you will be able to provide English text to the model and it will generate an audio output file. “ William Shakespeare was an English poet, playwright and actor, widely regarded as the greatest writer in the English language and the world’s greatest dramatist. Here is an example of what you can achieve using this model: The generated audio has a clear human-like voice without background noise. The optimized Tacotron2 model 2 and the new WaveGlow model 1 take advantage of Tensor Cores on NVIDIA Volta and Turing GPUs to convert text into high quality natural sounding speech in real-time.
First step transforms the text into time-aligned features, such as mel spectrogram, or F0 frequencies and other linguistic features.Text-to-speech (TTS) synthesis is typically done in two steps.
State-of-the-art speech synthesis models are based on parametric neural networks 1.
It simply speaks, with a possible delay.ĭoes anyone know of an already-built system? A basic one is totally fine, as long as voices can be modified somewhat.This post, intended for developers with professional level understanding of deep learning, will help you produce a production-ready, AI, text-to-speech model.Ĭonverting text into high quality, natural-sounding speech in real time has been a challenging conversational AI task for decades. It does not allow voice modification, which is sort of a necessity in order to differentiate speakers, nor much else. I've found someone's work-around for this one, but the problem is the work-around has very minimal functionality. I've tried using System.Speech, but that has reference and compatibility issues. The problem is that I have found it very hard to find any current and compatible systems that work with Unity.Īfter looking on Google for quite a long time, I found several dated posts, but none of which work or are not crafted completely from scratch (I understand that for the end goal this will be needed, but for now time is short and we simply need something good enough for a prototype).
I've been working on a project and for now simply need a free TTS system that can be used as a prototype for Unity 2018.3.6 on Windows.