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06/14/2023
SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?
Self-supervised learning (SSL) for speech representation has been succes...
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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...
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05/24/2023
Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss
Self-supervised learning (SSL) is the latest breakthrough in speech proc...
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05/09/2023
Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models
Self-supervised learning (SSL) has been dramatically successful not only...
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04/24/2023
Zero-shot text-to-speech synthesis conditioned using self-supervised speech representation model
This paper proposes a zero-shot text-to-speech (TTS) conditioned by a se...
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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...
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10/28/2022
On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment Analysis
This paper investigates the effectiveness and implementation of modality...
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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...
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07/04/2021
Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition
We propose a cross-modal transformer-based neural correction models that...
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02/16/2021
