https://github.com/idea-emdoor-lab/distilcodec
공식 코드UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Audio-visual speech recognition is the task of transcribing a paired audio and visual stream into text.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting
OLKAVS: An Open Large-Scale Korean Audio-Visual Speech Dataset
JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech
Towards Controllable Speech Synthesis in the Era of Large Language Models: A Survey
Ming-Omni: A Unified Multimodal Model for Perception and Generation
IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech Synthesis
Multilingual Text-to-Speech Synthesis for Turkic Languages Using Transliteration
Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization
VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
TeleAntiFraud-28k: An Audio-Text Slow-Thinking Dataset for Telecom Fraud Detection
TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models
VIFS: An End-to-End Variational Inference for Foley Sound Synthesis
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation Models
Multi-Modal Automatic Prosody Annotation with Contrastive Pretraining of SSWP
ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching
DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal Prompts
TokenSynth: A Token-based Neural Synthesizer for Instrument Cloning and Text-to-Instrument
Moshi: a speech-text foundation model for real-time dialogue
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.