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Found 4 papers, 1 papers with code
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition
In this paper we propose applying adapters to wav2vec 2. 0 to reduce the number of parameters required for downstream ASR tasks, and increase scalability of the model to multiple tasks or languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Fine-grained Multi-Modal Self-Supervised Learning
Multi-Modal Self-Supervised Learning from videos has been shown to improve model's performance on various downstream tasks.
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning
We evaluate by applying these language representations to automatic speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
Missing information can be restored well in this region, especially in HR videos, where the high-frequency content mostly consists of texture details.
