Search Results for "text extract"
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Showing 2 open source projects for "text extract"
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TITTSE
Two Integrated Text To Speech Engines uses MMS & Silero
TITTSE is a Python Application that allows you to easily and quickly convert text to speech in 15 different languages (or add more easily) using Two TTS Engines. All you need is a text file ending in the tittse extension with 4 header lines including the TITTSE language code (see documentation for your language), the 'base' file name for the audio files TITTSE creates, voice gender (girl or boy), offset (file numbers added to base file name start at this number). -
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Transformer TTS
Implementation of a Transformer based neural network
TransformerTTS is an implementation of a non-autoregressive Transformer-based neural network for text-to-speech, built with TensorFlow 2. It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive “ForwardTransformer” generates mel-spectrograms conditioned on text and durations. ...
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