research
∙
06/14/2023
SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?
Self-supervised learning (SSL) for speech representation has been succes...
share
research
∙
06/07/2023
Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization
End-to-end speech summarization (E2E SSum) directly summarizes input spe...
research
∙
05/09/2023
Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models
Self-supervised learning (SSL) has been dramatically successful not only...
research
∙
03/02/2023
Leveraging Large Text Corpora for End-to-End Speech Summarization
End-to-end speech summarization (E2E SSum) is a technique to directly ge...
research
∙
07/14/2022
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models
Self-supervised learning (SSL) is seen as a very promising approach with...
research
∙
05/19/2020
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition
It is important to transcribe and archive speech data of endangered lang...
research
∙
02/16/2020