FastSpeech2 VS STYLER

Compare FastSpeech2 vs STYLER and see what are their differences.

FastSpeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech" (by ming024)

STYLER

Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021 (by keonlee9420)
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FastSpeech2 STYLER
4 3
1,622 150
- -
0.0 1.8
6 months ago over 2 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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FastSpeech2

Posts with mentions or reviews of FastSpeech2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-13.

STYLER

Posts with mentions or reviews of STYLER. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-13.

What are some alternatives?

When comparing FastSpeech2 and STYLER you can also consider the following projects:

Parallel-Tacotron2 - PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

waveglow - A Flow-based Generative Network for Speech Synthesis

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

radtts - Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.

tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference

flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer

voice100 - Voice100 includes neural TTS/ASR models. Inference of Voice100 is low cost as its models are tiny and only depend on CNN without autoregression.

Speech-Backbones - This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

tortoise-tts - A multi-voice TTS system trained with an emphasis on quality

DiffSinger - PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)