https://github.com/around-star/Speech-Recognition
Recurrent Neural Network Transducer for Audio-Visual Speech Recognition
Papers with Code 아카이브
Natural Language Transduction
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cflamant/neural-stack
https://github.com/david-gimeno/lip-rtve
Visual Speech Recognition for Multiple Languages in the Wild
https://github.com/exgc/avmust-ted
https://github.com/gaalszandi/visual_speech_recognition
https://github.com/guxm2021/MM_ALT
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction
https://github.com/hero9968/lipnet-python
https://github.com/jingyunx/Deformation-Flow-Based-Two-stream-Network
https://github.com/lordmartian/deep_avsr
https://github.com/manideep2510/Lipreading-Keras
https://github.com/michaeltrs/Lipreading_ResNet_LSTM
https://github.com/mlvc-lab/Classification-NAS
https://github.com/mpc001/end-to-end-Lipreading
https://github.com/ms-dot-k/Multi-head-Visual-Audio-Memory
Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading
https://github.com/ms-dot-k/Visual-Audio-Memory
Multi-modality Associative Bridging through Memory: Speech Sound Recollected from Face Video
https://github.com/ms8909/LipONet
https://github.com/pjenpoomjai/LipNet
https://github.com/sailordiary/LipNet-PyTorch
https://github.com/ski-net/lipnet
https://github.com/smeetrs/deep_avsr
https://github.com/speech-separation-hse/video-features
https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/models/research/neural_stack.py
https://github.com/umbertocappellazzo/llama-avsr
Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
https://github.com/viking-sudo-rm/StackNN
https://github.com/zju-vipa/KamalEngine
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
https://github.com/zziz/pwc
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.