https://github.com/liyongze/lstm_speaker_verification
Attention-Based Models for Text-Dependent Speaker Verification
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/ljuvela/GELP
GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-spectrogram
https://github.com/lmnt-com/diffwave
https://github.com/lmnt-com/wavegrad
https://github.com/lordmartian/deep_avsr
https://github.com/lorenlugosch/pretrain_speech_model
Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models
https://github.com/lpirola13/flower-recognizer
https://github.com/lpirola13/flower_recognizer
https://github.com/lturing/Tools
Hierarchical Generative Modeling for Controllable Speech Synthesis
https://github.com/lucasnewman/best-rq-pytorch
Self-supervised Learning with Random-projection Quantizer for Speech Recognition
https://github.com/lucidrains/conformer
Conformer: Convolution-augmented Transformer for Speech Recognition
https://github.com/lucidrains/naturalspeech2-pytorch
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
https://github.com/lucidrains/soundstorm-pytorch
Conformer: Convolution-augmented Transformer for Speech Recognition
https://github.com/lucidrains/vector-quantize-pytorch
Self-supervised Learning with Random-projection Quantizer for Speech Recognition
https://github.com/lucidrains/voicebox-pytorch
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
https://github.com/lukesin/nas-for-kws-2
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/lumaku/ctc-segmentation
https://github.com/lupengyuan/lpy1111
https://github.com/magahub/honk
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
https://github.com/magahub/honknew
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
https://github.com/magnumresearchgroup/auxiliaryrawnet
Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model
https://github.com/maikezuefle/contr-pretraining
https://github.com/mailong25/self-supervised-speech-recognition
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
https://github.com/mailong25/vietnamese-speech-recognition
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
https://github.com/mailong25/wav2letter
wav2letter++: The Fastest Open-source Speech Recognition System
https://github.com/majidAdibian77/ResGrad
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
https://github.com/majidAdibian77/persian-SV2TTS
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
https://github.com/makeyourownmaker/mixup
Regularizing Neural Networks by Penalizing Confident Output Distributions
https://github.com/mamhoud/CapstoneProject
A Critical Review of Recurrent Neural Networks for Sequence Learning
https://github.com/mangelroman/audio2score
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
https://github.com/mangushev/deep_speech
https://github.com/manideep2510/Lipreading-Keras
https://github.com/marccanby/bidi_decoding
Unsupervised Cross-lingual Representation Learning for Speech Recognition
https://github.com/marka17/digit-recognition
https://github.com/marload/ConvNets-TensorFlow2
https://github.com/martin-gorner/tensorflow-rnn-shakespeare
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.