Papers with Code 아카이브
Audio-Visual Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 4
- 보존된 평가 기록
- 24
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/NVIDIA/nv-wavenet
https://github.com/NVIDIA/radtts
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
https://github.com/NisansaDdS/Some-Languages-are-More-Equal-than-Others
Systematic Inequalities in Language Technology Performance across the World's Languages
https://github.com/Nvillaluenga/DC_TTS
https://github.com/OlaWod/my-fastspeech2
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/OlaWod/my-tacotron2
https://github.com/OlaWod/my-wavernn
https://github.com/PaddlePaddle/DeepSpeech
https://github.com/Pandade1997/tera_asvproof
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
https://github.com/PeihaoChen/regnet
https://github.com/PhilippeNguyen/keras_wavenet
https://github.com/Plachtaa/seed-vc
Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
https://github.com/RamsteinWR/wavenet-master
https://github.com/RayeRen/RayeRen
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/Rongjiehuang/Multiband-WaveRNN
https://github.com/RuntimeRacer/rtvc-gcloud
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/SMIL-SPCRAS/AVCRFormer
https://github.com/Salazar-99/Gravitational-WaveNet
https://github.com/SeanPLeary/dc_tts-transfer-learning
https://github.com/ShichengChen/WaveNetSeparateAudio
https://github.com/Shivendra-psc/speechbot
https://github.com/ShotDownDiane/tcn-master
https://github.com/ShuSQ/CCI_AP_PoseLoops
https://github.com/Suhee05/Text-Independent-Speaker-Verification
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/Talk2Levi/DJL
https://github.com/TanUkkii007/wavenet
https://github.com/TartuNLP/deepvoice3_pytorch
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
https://github.com/TensorSpeech/TensorFlowASR
https://github.com/TensorSpeech/TensorflowTTS
https://github.com/Text-to-Audio/AudioLCM
ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech
https://github.com/TrizteX/Audio-SuperRes
https://github.com/TuringAILab/End2End_training_English
https://github.com/Vernacular-ai/Multimodal-Slu
Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning
https://github.com/Vikas-Sony/speech-to-text
https://github.com/WLM1ke/poptimizer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.