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Speech Synthesis

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하위 태스크: 15
평가표: 5
보존된 평가 기록: 31

Speech synthesis is the task of generating speech from some other modality like text, lip movements etc.

Please note that the leaderboards here are not really comparable between studies - as they use mean opinion score as a metric and collect different samples from Amazon Mechnical Turk.

<span style="color:grey; opacity: 0.6">( Image credit: WaveNet: A generative model for raw audio )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/microsoft/NeuralSpeech

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PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

https://github.com/microsoft/speecht5

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SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

https://github.com/microsoft/unilm

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Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

https://github.com/microsoft/unilm/tree/master/LatentLM

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Multimodal Latent Language Modeling with Next-Token Diffusion

https://github.com/milaniusz/speech2brain2speech

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Towards Decoding Brain Activity During Passive Listening of Speech

https://github.com/mindslab-ai/assem-vc

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Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques

https://github.com/mindslab-ai/phaseaug

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PhaseAug: A Differentiable Augmentation for Speech Synthesis to Simulate One-to-Many Mapping

https://github.com/ming024/FastSpeech2

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Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis

https://github.com/mingjund/mapudungun-corpus

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A Resource for Computational Experiments on Mapudungun

https://github.com/mozilla/LPCNet

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LPCNet: Improving Neural Speech Synthesis Through Linear Prediction

https://github.com/ms-dot-k/Lip-to-Speech-Synthesis-in-the-Wild

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Lip-to-Speech Synthesis in the Wild with Multi-task Learning

https://github.com/ms-dot-k/Visual-Context-Attentional-GAN

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Lip to Speech Synthesis with Visual Context Attentional GAN

https://github.com/mu-y/lll-tts

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Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis

https://github.com/mutiann/byte2speech

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Multilingual Byte2Speech Models for Scalable Low-resource Speech Synthesis

https://github.com/mutiann/few-shot-transformer-tts

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Multilingual Byte2Speech Models for Scalable Low-resource Speech Synthesis

https://github.com/naver-ai/RapFlow-TTS

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RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching

https://github.com/naver-ai/facetts

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Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech

https://github.com/ndkgit339/fastspeech2-filled_pause_speech_synthesis

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Empirical Study Incorporating Linguistic Knowledge on Filled Pauses for Personalized Spontaneous Speech Synthesis

https://github.com/neillu23/cdiffuse

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Conditional Diffusion Probabilistic Model for Speech Enhancement

https://github.com/neonbjb/tortoise-tts

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Better speech synthesis through scaling

https://github.com/neosapience/editts

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EdiTTS: Score-based Editing for Controllable Text-to-Speech

https://github.com/nesl/asvspoof2019

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Deep Residual Neural Networks for Audio Spoofing Detection

https://github.com/neubig/globalutility

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Systematic Inequalities in Language Technology Performance across the World's Languages

https://github.com/neulab/africanvoices

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Building African Voices

https://github.com/nii-yamagishilab/Generalization_of_CMs_regularizations

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Improving Generalization Ability of Countermeasures for New Mismatch Scenario by Combining Multiple Advanced Regularization Terms

https://github.com/nii-yamagishilab/multi-speaker-tacotron

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Can Speaker Augmentation Improve Multi-Speaker End-to-End TTS?

https://github.com/nii-yamagishilab/partial_rank_similarity

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Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised setting

https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts

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A Practical Guide to Logical Access Voice Presentation Attack Detection

https://github.com/nii-yamagishilab/self-attention-tacotron

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Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent language

https://github.com/nishantgurunath/source_separation

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Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data

https://github.com/numediart/EmoV-DB

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The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems

https://github.com/numediart/LaughterSynthesis

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Laughter Synthesis: Combining Seq2seq modeling with Transfer Learning

https://github.com/nvidia/bigvgan

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BigVGAN: A Universal Neural Vocoder with Large-Scale Training

https://github.com/papercup-open-source/phonological-features

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Phonological Features for 0-shot Multilingual Speech Synthesis

https://github.com/perceptimatic/context-invariance-paper

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Evaluating context-invariance in unsupervised speech representations

https://github.com/peter-yh-wu/cross-lingual

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Cross-lingual Transfer for Speech Processing using Acoustic Language Similarity

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