https://github.com/litterbrother-xiao/overview-of-non-autoregressive-applications
공식 코드A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
Papers with Code 아카이브
Automatic Speech Recognition (ASR)
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Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lliar-liar/daily-omni
공식 코드Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across Modalities
https://github.com/lucasgris/wav2vec4bp
공식 코드https://github.com/lumia-group/leveraging-self-supervised-learning-for-avsr
공식 코드Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
https://github.com/lwang114/unsuptts
공식 코드Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition
https://github.com/lxy-peter/efficientpunct
공식 코드Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network
https://github.com/madhavlab/2023_teles_wlc
공식 코드TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR
https://github.com/magcil/grethe
공식 코드A Dataset for Speech Emotion Recognition in Greek Theatrical Plays
https://github.com/magenta/mt3
공식 코드https://github.com/maitrix-org/voila
공식 코드Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play
https://github.com/makcedward/nlpaug
공식 코드Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts
https://github.com/manishdhakal/asr-nepali-using-cnn-bilstm-resnet
공식 코드Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet
https://github.com/marcelosancinetti/epa-gop-pykaldi
공식 코드A transfer learning based approach for pronunciation scoring
https://github.com/marianne-m/brouhaha-vad
공식 코드https://github.com/mariegold/np-attack
공식 코드Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition
https://github.com/massabaali7/AR_Dysarthric
공식 코드Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation
https://github.com/matiuste/distriblock
공식 코드https://github.com/matthewcym/voicebench
공식 코드https://github.com/may-/joeys2t
공식 코드https://github.com/mbzuai-nlp/artst
공식 코드https://github.com/mechanicalsea/lighthubert
공식 코드https://github.com/medbar/kaldi/tree/ltlm/egs/librispeech/s5/fairseq_ltlm
공식 코드LT-LM: a novel non-autoregressive language model for single-shot lattice rescoring
https://github.com/mgaido91/FBK-fairseq-ST
공식 코드https://github.com/miamoto/conformer-ntm
공식 코드Memory-augmented conformer for improved end-to-end long-form ASR
https://github.com/microsoft/NeuralSpeech
공식 코드FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
https://github.com/microsoft/speecht5
공식 코드SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
https://github.com/mikewangwzhl/vidil
공식 코드Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
https://github.com/mininglamp-technology/asr-blockformer
공식 코드Improving Mandarin Speech Recogntion with Block-augmented Transformer
https://github.com/minkjung/blankcollapse
공식 코드Blank Collapse: Compressing CTC emission for the faster decoding
https://github.com/mlspeech/whisperdenoiser
공식 코드Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation Network
https://github.com/moorethreads/mooer
공식 코드MooER: LLM-based Speech Recognition and Translation Models from Moore Threads
https://github.com/morenolaquatra/flanec
공식 코드https://github.com/morenolaquatra/ger4dys
공식 코드Exploring Generative Error Correction for Dysarthric Speech Recognition
https://github.com/mpc001/auto_avsr
공식 코드Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
https://github.com/mravanelli/pytorch-kaldi
공식 코드https://github.com/mravanelli/theano-kaldi-rnn
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.