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Text-To-Speech Synthesis

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하위 태스크: 2
평가표: 6
보존된 평가 기록: 21

Text-To-Speech Synthesis is a machine learning task that involves converting written text into spoken words. The goal is to generate synthetic speech that sounds natural and resembles human speech as closely as possible.

코드

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

https://github.com/ShuSQ/CCI_AP_PoseLoops

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/Suhee05/Text-Independent-Speaker-Verification

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

https://github.com/Talk2Levi/DJL

MelNet: A Generative Model for Audio in the Frequency Domain

https://github.com/TartuNLP/deepvoice3_pytorch

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

https://github.com/TensorSpeech/TensorflowTTS

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/Text-to-Audio/AudioLCM

ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

https://github.com/WelkinYang/GradTTS

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

https://github.com/YuvalBecker/MelNet

MelNet: A Generative Model for Audio in the Frequency Domain

https://github.com/YuvalBecker/MelNet-Tensorflow

MelNet: A Generative Model for Audio in the Frequency Domain

https://github.com/acetylSv/GST-tacotron

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

https://github.com/acids-ircam/diffusion_models

WaveGrad: Estimating Gradients for Waveform Generation

https://github.com/adityapandya1/review-of-DCTTS

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

https://github.com/ai-unicamp/tts-objective-metrics

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

https://github.com/ai4bharat/indic-tts

Towards Building Text-To-Speech Systems for the Next Billion Users

https://github.com/alisterta/Persian-text-to-speech

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

https://github.com/anandaswarup/TTS

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/anandaswarup/phrase_break_prediction

Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

https://github.com/anandaswarup/rnn-tts

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/anandaswarup/waveRNN

Efficient Neural Audio Synthesis

https://github.com/andabi/deep-voice-conversion

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/andabi/voice-vector

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/ankurdhuriya/multispeaker-glow-tts

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

https://github.com/as-ideas/TransformerTTS

Neural Speech Synthesis with Transformer Network

https://github.com/as-ideas/deepforcedaligner

FastSpeech: Fast, Robust and Controllable Text to Speech

https://github.com/barronalex/Tacotron

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/bigpon/QPPWG

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

https://github.com/bigpon/vcc20_baseline_cyclevae

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

https://github.com/bloodraven66/deepforcedaligner

FastSpeech: Fast, Robust and Controllable Text to Speech

https://github.com/cadia-lvl/fastspeech2

FastSpeech: Fast, Robust and Controllable Text to Speech

https://github.com/caizexin/tf_multispeakerTTS_fc

Efficient Neural Audio Synthesis

https://github.com/cchinchristopherj/Concert-of-Whales

Tacotron: Towards End-to-End Speech Synthesis

https://github.com/choiHkk/Transformer-TTS

Neural Speech Synthesis with Transformer Network

https://github.com/ciaua/score_lyrics_free_svg

Efficient Neural Audio Synthesis

https://github.com/cnlinxi/style-token_tacotron2

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis

https://github.com/creotiv/RussianTTS-Tacotron2

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

https://github.com/daniilrobnikov/vits2

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.