Libri-Light
Canonical8papers using it
2022first seen
Libri-light is a large dataset of 60K hours of unlabelled speech from audiobooks in English. It is a benchmark for the training of automatic speech recognition (ASR) systems with limited or no supervision.
Papers using Libri-Light (8)
- Efficient Interleaved Speech Modeling through Knowledge Distillationk2SSL: A Faster and Better Framework for Self-Supervised Speech
Representation LearningLibriheavy: a 50,000 hours ASR corpus with punctuation casing and
contextCenser: Curriculum Semi-supervised Learning for Speech Recognition Based
on Self-supervised Pre-trainingContext-aware Fine-tuning of Self-supervised Speech ModelsLearning When to Trust Which Teacher for Weakly Supervised ASRFederated Representation Learning for Automatic Speech RecognitionGenerative Context-aware Fine-tuning of Self-supervised Speech Models