TransformerTTS and Transformer-TTS
These two projects are competitors, as both are independent PyTorch implementations of the "Neural Speech Synthesis with Transformer Network" paper, aiming to provide a non-autoregressive Transformer-based neural network for text-to-speech.
About TransformerTTS
spring-media/TransformerTTS
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
Built on TensorFlow 2, it combines a two-stage pipeline with an Aligner model for duration extraction and a Forward Transformer for parallel mel-spectrogram generation with controllable pitch prediction. Pre-trained LJSpeech weights integrate seamlessly with MelGAN and HiFiGAN vocoders for end-to-end synthesis, while the non-autoregressive approach eliminates repetition artifacts and enables real-time inference with speed/pitch modulation.
About Transformer-TTS
soobinseo/Transformer-TTS
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
This tool helps you convert written text into natural-sounding spoken audio. You input text scripts and the system outputs corresponding audio files. It's designed for anyone needing to generate speech from text efficiently, such as content creators, educators, or anyone producing audio versions of written content.
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