https://github.com/PaddlePaddle/PaddleSpeech
공식 코드ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
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ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech
Sampling strategies in Siamese Networks for unsupervised speech representation learning
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition
Fast Development of ASR in African Languages using Self Supervised Speech Representation Learning
Sampling strategies in Siamese Networks for unsupervised speech representation learning
EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Supervised Speech Representation Learning for Parkinson's Disease Classification
A low latency attention module for streaming self-supervised speech representation learning
k2SSL: A Faster and Better Framework for Self-Supervised Speech Representation Learning
CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERT
DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERT
Pretext Tasks selection for multitask self-supervised speech representation learning
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
data2vec-aqc: Search for the right Teaching Assistant in the Teacher-Student training setup
PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech Representations
Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
The Efficacy of Self-Supervised Speech Models for Audio Representations
Fast-HuBERT: An Efficient Training Framework for Self-Supervised Speech Representation Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.