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Search results for python non autoregressive
non-autoregressive
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19 search results found
Soundstorm Pytorch
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1,054
Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
Portaspeech
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211
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Comprehensive Transformer Tts
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146
A Non-Autoregressive Transformer based TTS, 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
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104
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
Stylespeech
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100
PyTorch Implementation of Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Diffsinger
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85
PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)
Reparam Discrete Diffusion
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81
Reparameterized Discrete Diffusion Models for Text Generation
Parallel Tacotron2
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80
PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
Comprehensive E2e Tts
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71
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
Diffgan Tts
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52
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
Expressive Fastspeech2
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41
PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.
Daft Exprt
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36
PyTorch Implementation of Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
Wavegrad2
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35
PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
Vaenar Tts
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25
PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
Glop
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22
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Fastpitchformant
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21
PyTorch Implementation of NCSOFT's FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
Specdec
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16
Codes for our paper "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation" (EMNLP 2023 Findings)
Ctc Copy
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9
[EMNLP'23] Code for "Non-autoregressive Text Editing with Copy-aware Latent Alignments".
Deep Learning Tts Template
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8
This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).
Continualnat
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6
M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation
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