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comprehensive-e2e-tts

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS

comprehensive-tacotron2

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

comprehensive-transformer-tts

A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS

cross-speaker-emotion-transfer

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

cs224n

cs224n 2020 Winter assignments implementation

cs231n

cs231n 2020 Spring assignments implementation

daft-exprt

PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis

dailytalk

Official repository of DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech, ICASSP 2023 (Oral)

deep-learning-tts-template

This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).

diffgan-tts

PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

diffsinger

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

expressive-fastspeech2

PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.

fastpitchformant

PyTorch Implementation of NCSOFT's FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis

fastspeech2

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

fullsubnet

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

fully_hierarchical_fine_grained_tts

Pytorch Implementation of Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis (Unofficial)

korean-fastspeech2-pytorch

Implementation of Korean FastSpeech2

mellotron

Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data

parallel-tacotron2

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

pintos

KAIST CS330 OS pintos Project

portaspeech

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

robust_fine_grained_prosody_control

PyTorch Implementation of Robust and fine-grained prosody control of end-to-end speech synthesis

soft-dtw-loss

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

speech-recognition-app

for mom's speaking practice

speechsplit

Unsupervised Speech Decomposition Via Triple Information Bottleneck

stepwise_monotonic_multihead_attention

PyTorch Implementation of Stepwise Monotonic Multihead Attention similar to Enhancing Monotonicity for Robust Autoregressive Transformer TTS

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

styler-demo

stylespeech

PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

tacotron2_mmi

Another PyTorch implementation of Tacotron2 MMI (with waveglow) which supports n_frames_per_step>1 mode(reduction windows) and diagonal guided attention for robust alignments.