https://bitbucket.org/doglic/asr
공식 코드Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural Networks
Papers with Code 아카이브
Robust Speech Recognition
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JeongHun0716/MMS-LLaMA
공식 코드MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech Tokens
https://github.com/ahmedshah1494/speech_robust_bench
공식 코드Speech Robust Bench: A Robustness Benchmark For Speech Recognition
https://github.com/archiki/Robust-E2E-ASR
공식 코드An Investigation of End-to-End Models for Robust Speech Recognition
https://github.com/burchim/avec
공식 코드Audio-Visual Efficient Conformer for Robust Speech Recognition
https://github.com/espnet/espnet
공식 코드ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding
https://github.com/facebookresearch/muavic
공식 코드https://github.com/guozixunnicolas/dent-ddsp
공식 코드https://github.com/jethrowangsir/cada-gan
공식 코드Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition
https://github.com/miosipof/lie-dasr
공식 코드Dysarthria Normalization via Local Lie Group Transformations for Robust ASR
https://github.com/openai/whisper
공식 코드https://github.com/raphaelolivier/smoothingasr
공식 코드Sequential Randomized Smoothing for Adversarially Robust Speech Recognition
https://github.com/roudimit/whisper-flamingo
공식 코드mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition
https://github.com/santi-pdp/pase
공식 코드Multi-task self-supervised learning for Robust Speech Recognition
https://github.com/sinica-slam/kaldi-senan
공식 코드Speech-enhanced and Noise-aware Networks for Robust Speech Recognition
https://github.com/speech-lab-iitm/ccc-wav2vec-2.0
공식 코드https://github.com/vivivic/speech-domain-adaptation-DRL
공식 코드https://github.com/wangkenpu/rsrgan
공식 코드https://github.com/wnhsu/ScalableFHVAE
공식 코드Scalable Factorized Hierarchical Variational Autoencoder Training
https://github.com/yuchen005/dpsl-asr
공식 코드Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition
https://github.com/yuchen005/gradient-remedy
공식 코드Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
https://github.com/yuchen005/robustger
공식 코드Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
https://github.com/zhu-han/ASR-Adaption-Class-Similarity
공식 코드Domain Adaptation Using Class Similarity for Robust Speech Recognition
https://github.com/zhuole1025/LyricWhiz
공식 코드LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
https://github.com/Anustup900/Tensorflow-Speech-Recognition
Very Deep Convolutional Neural Networks for Robust Speech Recognition
https://github.com/BurnhamG/PyTorch-ScalableFHVAE
Scalable Factorized Hierarchical Variational Autoencoder Training
https://github.com/audioshake/alt-eval
https://github.com/briansidp/whisperbiasing
https://github.com/collabora/whisperlive
https://github.com/collabora/whisperspeech
https://github.com/ggerganov/whisper.cpp
https://github.com/huggingface/transformers
https://github.com/jayant766/MIDAS-IIITD
Very Deep Convolutional Neural Networks for Robust Speech Recognition
https://github.com/k2-fsa/icefall
https://github.com/kadirnar/whisper-plus
https://github.com/m-bain/whisperx
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.