Papers with Code 아카이브

Emotional Speech Synthesis

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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코드

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

https://github.com/Choddeok/EmoSphere-TTS

공식 코드

EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech

https://github.com/Choddeok/EmoSpherepp

공식 코드

EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector

https://github.com/Emotional-Text-to-Speech/dl-for-emo-tts

공식 코드

Exploring Transfer Learning for Low Resource Emotional TTS

https://github.com/rainbowluocs/openomni

공식 코드

OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis

https://github.com/tonychenxyz/emoknob

공식 코드

EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control

https://github.com/ttslr/strengthnet

공식 코드

StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis

https://github.com/SeanPLeary/dc_tts-transfer-learning

Exploring Transfer Learning for Low Resource Emotional TTS

https://github.com/jessearodriguez/LJ-Audio-dataset-generator

Exploring Transfer Learning for Low Resource Emotional TTS

https://github.com/keonlee9420/DailyTalk

Exploring Transfer Learning for Low Resource Emotional TTS

https://github.com/keonlee9420/Expressive-FastSpeech2

Exploring Transfer Learning for Low Resource Emotional TTS

https://github.com/noetits/ICE-Talk

Visualization and Interpretation of Latent Spaces for Controlling Expressive Speech Synthesis through Audio Analysis

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