Papers with Code 아카이브

Speech Synthesis

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/yangyucheng000/University/tree/main/model-2/fastspeech2_conformer

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

https://github.com/yangyucheng000/University/tree/main/model-3/seamless_m4t

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

https://github.com/yangyucheng000/University/tree/main/model-3/speecht5

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

https://github.com/yebiny/DepthOfAnaesthesia_eeg

WaveNet: A Generative Model for Raw Audio

https://github.com/yl4579/StyleTTS2

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

https://github.com/ylacombe/finetune-hf-vits

Scaling Speech Technology to 1,000+ Languages

https://github.com/yoshifumi-nakano/visual-text-to-speech

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

https://github.com/yxlu-0102/MP-SENet

Source-Filter-Based Generative Adversarial Neural Vocoder for High Fidelity Speech Synthesis

https://github.com/yzyouzhang/AIR-ASVspoof

SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing

https://github.com/zhangbo2008/fastSpeeck2_chinese_train

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

https://github.com/zhihaozhang97/ru-ai

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units

https://github.com/zhong110020/Tensorflow-TCN

WaveNet: A Generative Model for Raw Audio

https://github.com/zhong110020/keras-tcn

WaveNet: A Generative Model for Raw Audio

https://github.com/zll1996/TCN

WaveNet: A Generative Model for Raw Audio

https://gitlab.com/imahn/l2lflows

CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows

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