Papers with Code 아카이브
Speech Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 11
- 평가표
- 236
- 보존된 평가 기록
- 398
Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.
<span style="color:grey; opacity: 0.6">( Image credit: SpecAugment )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/neillu23/DiffuSE
https://github.com/neonbjb/ocotillo
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
https://github.com/nhadidi/splashnet
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
https://github.com/nickovchinnikov/tts-framework
DelightfulTTS: The Microsoft Speech Synthesis System for Blizzard Challenge 2021
https://github.com/nicolaszucchet/minimal-lru
Efficiently Modeling Long Sequences with Structured State Spaces
https://github.com/nikhilrathaur/Handwriting-to-Digital-Text
Character-Level Incremental Speech Recognition with Recurrent Neural Networks
https://github.com/nikolaikyhne/xlstm-senet
MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement
https://github.com/niranjana98/Image-Classification
https://github.com/nithinksath96/Speech_Recognition
https://github.com/nliulab/fl-benchmark
Communication-Efficient Learning of Deep Networks from Decentralized Data
https://github.com/nlp-en-es/wav2vec2-spanish
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
https://github.com/noahfl/densenet-sdr
https://github.com/noetits/ICE-Talk
https://github.com/norse/norse
Long short-term memory and learning-to-learn in networks of spiking neurons
https://github.com/nvcnet/nvcnet.github.io
https://github.com/ogunlao/glowtts_stdp
Can we use Common Voice to train a Multi-Speaker TTS system?
https://github.com/okason97/DenseNet-Tensorflow2
https://github.com/okason97/handshape-recognition
https://github.com/olawod/freevc
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
https://github.com/oliverrose1998/Attention-Confidence
Bi-Directional Lattice Recurrent Neural Networks for Confidence Estimation
https://github.com/oliverzhang42/ood_medical_images
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
https://github.com/oneway3124/disaggregation-vrnn
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
https://github.com/open-creator/icefall
https://github.com/opennmt/ctranslate2
Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translation
https://github.com/openspeech-team/openspeech
https://github.com/oplatek/e2end
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
https://github.com/osmr/imgclsmob
https://github.com/otosense/slang
https://github.com/outofculture/talk-like-me
https://github.com/ozora-ogino/LCNN
https://github.com/p-mc-grath/DMMFODS
https://github.com/pacharadanait/Densnet_project
https://github.com/pannous/caffe-speech-recognition
Building DNN Acoustic Models for Large Vocabulary Speech Recognition
https://github.com/papar22/returnn-my-branch
RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition
https://github.com/pariajm/e2e-asr-and-disfluency-removal-evaluation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.