https://github.com/ashwin9999/speech-recognition-CNN
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
Papers with Code 아카이브
Speech Recognition
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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/asprenger/keras_fc_densenet
https://github.com/asteroid-team/asteroid-filterbanks/blob/master/asteroid_filterbanks/pcen.py
Trainable Frontend For Robust and Far-Field Keyword Spotting
https://github.com/astoycos/Mini_Project2
https://github.com/atapour/ransomware-classification
https://github.com/audio-westlakeu/rct
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
https://github.com/audiollms/audiobench
https://github.com/autoliuweijie/FastBERT
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
https://github.com/avi33/universalmelgan
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
https://github.com/avishai111/One-Class-Learning-with-Adaptive-Centroid-Shift-for-Audio-Deepfake-Detection
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection
https://github.com/awesomericky/Speech2Pickup
https://github.com/awni/future_speech
https://github.com/aws-samples/aws-lex-noisy-spoken-language-understanding
https://github.com/awslabs/gluon-ts
https://github.com/ayushpatidar/PR1-DenseNet
https://github.com/ayyucedemirbas/gcommands_12_classes
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
https://github.com/azima-fariha/DeepLearning_DenselyConnectedConvolutionalNetworks
https://github.com/babylonhealth/primock57
https://github.com/bacnguyenne/ASR_LibriSpeech
Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks
https://github.com/baidu-research/warp-ctc
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs
https://github.com/balan/text-to-speech
A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models
https://github.com/bamos/densenet.pytorch
https://github.com/barronalex/Tacotron
https://github.com/basveeling/wavenet
https://github.com/benmoseley/simple-wavenet
https://github.com/bethgelab/InDomainGeneralizationBenchmark
https://github.com/bfortuner/pytorch_tiramisu
https://github.com/bhaskar-gaur/DenseNet-Keras
https://github.com/bigpon/QPPWG
https://github.com/bigpon/vcc20_baseline_cyclevae
https://github.com/biyoml/End-to-End-Mandarin-ASR
https://github.com/biyoml/Pytorch-End-to-End-ASR-on-TIMIT
https://github.com/bjtommychen/Keras_DeepSpeech2_SpeechRecognition
https://github.com/bloodraven66/deepforcedaligner
https://github.com/bobchennan/espnet
Improved training of end-to-end attention models for speech recognition
https://github.com/boris127/vehicle-detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.