Papers with Code 아카이브
Accented Speech Recognition
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/tonychenxyz/emoknob
공식 코드EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control
https://github.com/tts-tutorial/survey
공식 코드https://github.com/ttslr/strengthnet
공식 코드StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis
https://github.com/ucla-trustworthy-ai-lab/autodiffusion
공식 코드AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing
https://github.com/uirlx/dialogueagents
공식 코드DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue
https://github.com/villawang/Neuro-AI-Interface
공식 코드Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks
https://github.com/walker-hyf/ecss
공식 코드https://github.com/walker-hyf/fctalker
공식 코드FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis
https://github.com/walker-hyf/mntts
공식 코드MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline
https://github.com/winddori2002/dex-tts
공식 코드DEX-TTS: Diffusion-based EXpressive Text-to-Speech with Style Modeling on Time Variability
https://github.com/wonjune-kang/lvc-vc
공식 코드End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions
https://github.com/wxzyd123/pivotal_objective_perturbation
공식 코드Mitigating Unauthorized Speech Synthesis for Voice Protection
https://github.com/wxzyd123/safespeech
공식 코드SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis
https://github.com/xi-j/Mamba-TasNet
공식 코드https://github.com/xi-j/mamba-asr
공식 코드https://github.com/xiangli2022/cm-tts
공식 코드https://github.com/xincanfeng/vitsgpt
공식 코드https://github.com/xiph/lpcnet
공식 코드Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet
https://github.com/yandex-research/distill-nf
공식 코드https://github.com/yl4579/HiFTNet
공식 코드https://github.com/yl4579/StyleTTS
공식 코드StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis
https://github.com/youngeun1209/neurotalk
공식 코드Towards Voice Reconstruction from EEG during Imagined Speech
https://github.com/yujxx/podagent
공식 코드https://github.com/yunyikristy/skipNet
공식 코드Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
https://github.com/yuriak/SpeechDialogueFactory
공식 코드https://github.com/zabir-nabil/bangla-tts
공식 코드https://github.com/zhenye234/CoMoSpeech
공식 코드CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
https://github.com/zhenye234/LLaSA_training
공식 코드Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis
https://github.com/zhenye234/xcodec
공식 코드Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
https://github.com/zhenzi-weng/deepsc-st_demonstration
공식 코드Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis
https://gitlab.com/claudius-krause/caloflow
공식 코드CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows
https://zenodo.org/record/10377492
공식 코드https://github.com/0fengzi0/tacotron
https://github.com/2023-MindSpore-1/ms-code-15/tree/main/FastSpeech
https://github.com/2023-MindSpore-1/ms-code-15/tree/main/wavenet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.