https://github.com/lumia-group/leveraging-self-supervised-learning-for-avsr
공식 코드Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
Papers with Code 아카이브
Audio-Visual Speech Recognition
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Audio-visual speech recognition is the task of transcribing a paired audio and visual stream into text.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lwang114/unsuptts
공식 코드Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition
https://github.com/maitrix-org/voila
공식 코드Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play
https://github.com/masayakawamura/mb-istft-vits
공식 코드https://github.com/mbinkowski/DeepSpeechDistances
공식 코드https://github.com/mbzuai-nlp/artst
공식 코드https://github.com/mbzuai-nlp/audiojailbreak
공식 코드Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
https://github.com/mbzuai-nlp/sttatts
공식 코드https://github.com/menloresearch/ichigo
공식 코드Speechless: Speech Instruction Training Without Speech for Low Resource Languages
https://github.com/microsoft/NeuralSpeech
공식 코드LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
https://github.com/microsoft/e2tts-test-suite
공식 코드E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS
https://github.com/microsoft/unilm
공식 코드Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
https://github.com/microsoft/unilm/tree/master/LatentLM
공식 코드Multimodal Latent Language Modeling with Next-Token Diffusion
https://github.com/ming024/FastSpeech2
공식 코드Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis
https://github.com/mingzi151/spokenvocab
공식 코드Generating Synthetic Speech from SpokenVocab for Speech Translation
https://github.com/mispchallenge/misp-icme-avsr
공식 코드https://github.com/miu200521358/NeuralVoicePuppetryMMD
공식 코드https://github.com/moyangkuo/audiomarkbench
공식 코드AudioMarkBench: Benchmarking Robustness of Audio Watermarking
https://github.com/mozilla/LPCNet
공식 코드LPCNet: Improving Neural Speech Synthesis Through Linear Prediction
https://github.com/mpc001/auto_avsr
공식 코드Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
https://github.com/ms-dot-k/AVSR
공식 코드https://github.com/ms2ku-vtts/ms2ku-vtts
공식 코드Multi-Source Spatial Knowledge Understanding for Immersive Visual Text-to-Speech
https://github.com/msalhab96/araspot
공식 코드https://github.com/mu-y/lll-tts
공식 코드Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis
https://github.com/mushanshanshan/esltts
공식 코드https://github.com/n8rob/multilingual_tts_augmentation
공식 코드https://github.com/natspeech/natspeech
공식 코드PortaSpeech: Portable and High-Quality Generative Text-to-Speech
https://github.com/naver-ai/RapFlow-TTS
공식 코드RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching
https://github.com/naver-ai/facetts
공식 코드Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech
https://github.com/naver-ai/usdm
공식 코드Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation
https://github.com/neonbjb/tortoise-tts
공식 코드https://github.com/neosapience/editts
공식 코드https://github.com/nethermanpro/transvip
공식 코드TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
https://github.com/neubig/globalutility
공식 코드Systematic Inequalities in Language Technology Performance across the World's Languages
https://github.com/neulab/africanvoices
공식 코드https://github.com/neurowave-ai/cucvae-tts
공식 코드Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.