keonlee9420/FastPitchFormant keonlee9420/FastPitchFormant

  • Stars
    star
    71
  • Rank 443,012 (Top 9 %)
  • Language
    Python
  • License
    MIT License
  • Created over 3 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
keonlee9420/FastPitchFormant
github

keonlee9420

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

PortaSpeech

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Python
329
star
2

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
Python
319
star
3

DiffGAN-TTS

PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
Python
310
star
4

Expressive-FastSpeech2

PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.
Python
276
star
5

DiffSinger

PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)
Python
233
star
6

DailyTalk

Official repository of DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech, ICASSP 2023
Python
194
star
7

StyleSpeech

PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Python
189
star
8

Parallel-Tacotron2

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Python
187
star
9

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
Python
180
star
10

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
Python
156
star
11

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
Python
144
star
12

Soft-DTW-Loss

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Python
120
star
13

VAENAR-TTS

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
Python
71
star
14

WaveGrad2

PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
Python
66
star
15

Daft-Exprt

PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
Python
56
star
16

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.
Python
45
star
17

evaluate-zero-shot-tts

Evaluation Protocol for Large-Scale Zero-Shot TTS Literature
Python
43
star
18

Robust_Fine_Grained_Prosody_Control

PyTorch Implementation of Robust and fine-grained prosody control of end-to-end speech synthesis
Python
41
star
19

Stepwise_Monotonic_Multihead_Attention

PyTorch Implementation of Stepwise Monotonic Multihead Attention similar to Enhancing Monotonicity for Robust Autoregressive Transformer TTS
Python
31
star
20

Deep-Learning-TTS-Template

This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).
Python
15
star
21

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.
Jupyter Notebook
5
star
22

Fully_Hierarchical_Fine_Grained_TTS

Pytorch Implementation of Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis (Unofficial)
2
star
23

cs231n

cs231n 2020 Spring assignments implementation
Jupyter Notebook
2
star
24

pintos

KAIST CS330 OS pintos Project
HTML
1
star