limited data

Wav2Vec-Aug: Improved self-supervised training with limited data Interspeech 2022 BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data ACL 2021 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NeurIPS 2021 Fine-Tuning Pre-Trained Voice Conversion Model for Adding New Target Speakers with Limited Data Interspeech 2021 Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems NAACL 2021 Regularizing Generative Adversarial Networks Under Limited Data CVPR 2021 End-to-End Game-Focused Learning of Adversary Behavior in Security Games AAAI 2020 Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations COLING 2020 Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020 Training Generative Adversarial Networks with Limited Data NeurIPS 2020 Employing Bottleneck and Convolutional Features for Speech-Based Physical Load Detection on Limited Data Amounts Interspeech 2019 Personalizing ASR for Dysarthric and Accented Speech with Limited Data Interspeech 2019 Using natural conversations to classify autism with limited data: Age matters NAACL 2019 On Training and Evaluation of Grapheme-to-Phoneme Mappings with Limited Data Interspeech 2018 DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data CVPR 2017 Emotional Voice Conversion with Adaptive Scales F0 Based on Wavelet Transform Using Limited Amount of Emotional Data Interspeech 2017