Add to ORKGSelf-supervised learning (SSL) is at the origin of unprecedented improvements in many different domains including computer vision and natural language processing. Speech processing drastically benefitted from SSL as most of the current domain-related tasks are now being approached with pre-trained models. This work introduces LeBenchmark 2.0 an open-source framework for assessing and building SSL-equipped French speech technologies. It includes documented, large-scale and heterogeneous corpora with up to 14,000 hours of heterogeneous speech, ten pre-trained SSL wav2vec 2.0 models containing from 26 million to one billion learnable parameters shared with the community, and an evaluation protocol made of six downstream tasks to complement exi...
Self-supervised learning (SSL) achieves great success in speech recognition, while limited explorati...
Over the past few years, self-supervised learned speech representations have emerged as fruitful rep...
Large-scale speech self-supervised learning (SSL) has emerged to the main field of speech processing...
Self-Supervised Learning (SSL) using huge unlabeled data has been successfully explored for image an...
International audienceSelf-Supervised Learning (SSL) has yielded remarkable improvements in many dif...
International audienceSelf-Supervised Learning (SSL) using huge unlabeled data has been successfully...
In the last five years, the rise of the self-attentional Transformer-based architectures led to stat...
Recent advances in spoken language understanding benefited from Self-Supervised models trained on la...
Self-supervised representation learning (SSRL) has improved the performance on downstream phoneme re...
Recent advances in spoken language understanding benefited from Self-Supervised models trained on la...
Recent years have witnessed great strides in self-supervised learning (SSL) on the speech processing...
SUPERB was proposed to evaluate the generalizability of self-supervised learning (SSL) speech models...
We summarize the results of a host of efforts using giant automatic speech recognition (ASR) models ...
Progress in speech processing has been facilitated by shared datasets and benchmarks. Historically t...
Large-scale self-supervised pre-trained speech encoders outperform conventional approaches in speech...
Self-supervised learning (SSL) achieves great success in speech recognition, while limited explorati...
Over the past few years, self-supervised learned speech representations have emerged as fruitful rep...
Large-scale speech self-supervised learning (SSL) has emerged to the main field of speech processing...
Self-Supervised Learning (SSL) using huge unlabeled data has been successfully explored for image an...
International audienceSelf-Supervised Learning (SSL) has yielded remarkable improvements in many dif...
International audienceSelf-Supervised Learning (SSL) using huge unlabeled data has been successfully...
In the last five years, the rise of the self-attentional Transformer-based architectures led to stat...
Recent advances in spoken language understanding benefited from Self-Supervised models trained on la...
Self-supervised representation learning (SSRL) has improved the performance on downstream phoneme re...
Recent advances in spoken language understanding benefited from Self-Supervised models trained on la...
Recent years have witnessed great strides in self-supervised learning (SSL) on the speech processing...
SUPERB was proposed to evaluate the generalizability of self-supervised learning (SSL) speech models...
We summarize the results of a host of efforts using giant automatic speech recognition (ASR) models ...
Progress in speech processing has been facilitated by shared datasets and benchmarks. Historically t...
Large-scale self-supervised pre-trained speech encoders outperform conventional approaches in speech...
Self-supervised learning (SSL) achieves great success in speech recognition, while limited explorati...
Over the past few years, self-supervised learned speech representations have emerged as fruitful rep...
Large-scale speech self-supervised learning (SSL) has emerged to the main field of speech processing...