https://github.com/kamperh/recipe_bucktsong_awe
A segmental framework for fully-unsupervised large-vocabulary speech recognition
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/kamperh/recipe_bucktsong_awe_py3
A segmental framework for fully-unsupervised large-vocabulary speech recognition
https://github.com/karpathy/makemore
https://github.com/kdaip/stabletts
https://github.com/kdgutier/esrnn_torch
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
https://github.com/kdgutier/residual_lstm/blob/master/residual_lstm.py
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
https://github.com/kehanlu/Nemo
https://github.com/keithito/tacotron
https://github.com/kensun0/Parallel-Wavenet
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
https://github.com/keonlee9420/Comprehensive-E2E-TTS
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/keonlee9420/Comprehensive-Tacotron2
https://github.com/keonlee9420/Comprehensive-Transformer-TTS
https://github.com/keonlee9420/Cross-Speaker-Emotion-Transfer
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
https://github.com/keonlee9420/DailyTalk
https://github.com/keonlee9420/DiffGAN-TTS
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
https://github.com/keonlee9420/DiffSinger
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/keonlee9420/Expressive-FastSpeech2
https://github.com/keonlee9420/FastPitchFormant
FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
https://github.com/keonlee9420/PortaSpeech
https://github.com/keonlee9420/Robust_Fine_Grained_Prosody_Control
Robust and fine-grained prosody control of end-to-end speech synthesis
https://github.com/keonlee9420/Stepwise_Monotonic_Multihead_Attention
Online and Linear-Time Attention by Enforcing Monotonic Alignments
https://github.com/keonlee9420/StyleSpeech
https://github.com/keonlee9420/WaveGrad2
https://github.com/kevin28520/RNN
https://github.com/kexinzhao/farm
Trace norm regularization and faster inference for embedded speech recognition RNNs
https://github.com/kh-kim/simple-nmt
https://github.com/khanhnguyen21006/fldocvqa
Communication-Efficient Learning of Deep Networks from Decentralized Data
https://github.com/khanld/ASR-Wa2vec-Finetune
https://github.com/kimjeongsun/specaugment
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
https://github.com/kingcong/densenet
https://github.com/kingjamessong/rankfeat
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
https://github.com/kingridda/voice-cloning-AI
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/kingstarcraft/speech-to-text-wavenet2
https://github.com/kiniavinash/ACAL
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
https://github.com/kinimod23/ATS_Project
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
https://github.com/kobybibas/pnml_ood_detection
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.