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09/04/2023
Attention as Annotation: Generating Images and Pseudo-masks for Weakly Supervised Semantic Segmentation with Diffusion
Although recent advancements in diffusion models enabled high-fidelity a...
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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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06/04/2023
End-to-End Joint Target and Non-Target Speakers ASR
This paper proposes a novel automatic speech recognition (ASR) system th...
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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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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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11/25/2022
Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning
Siamese-network-based self-supervised learning (SSL) suffers from slow c...
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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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06/16/2022
Strategies to Improve Robustness of Target Speech Extraction to Enrollment Variations
Target speech extraction is a technique to extract the target speaker's ...
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11/24/2021
Utilizing Resource-Rich Language Datasets for End-to-End Scene Text Recognition in Resource-Poor Languages
This paper presents a novel training method for end-to-end scene text re...
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11/22/2021
Hierarchical Knowledge Distillation for Dialogue Sequence Labeling
This paper presents a novel knowledge distillation method for dialogue s...
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07/07/2021
End-to-End Rich Transcription-Style Automatic Speech Recognition with Semi-Supervised Learning
We propose a semi-supervised learning method for building end-to-end ric...
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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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07/04/2021
Unified Autoregressive Modeling for Joint End-to-End Multi-Talker Overlapped Speech Recognition and Speaker Attribute Estimation
In this paper, we present a novel modeling method for single-channel mul...
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06/23/2021
Enrollment-less training for personalized voice activity detection
We present a novel personalized voice activity detection (PVAD) learning...
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06/23/2021
Zero-Shot Joint Modeling of Multiple Spoken-Text-Style Conversion Tasks using Switching Tokens
In this paper, we propose a novel spoken-text-style conversion method th...
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06/10/2021
Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition
In the deployment of scene-text spotting systems on mobile platforms, li...
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03/02/2021
Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss
We present an audio-visual speech separation learning method that consid...
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02/16/2021
End-to-End Automatic Speech Recognition with Deep Mutual Learning
This paper is the first study to apply deep mutual learning (DML) to end...
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02/16/2021
Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents
This paper presents a novel self-supervised learning method for handling...
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02/16/2021
Hierarchical Transformer-based Large-Context End-to-end ASR with Large-Context Knowledge Distillation
We present a novel large-context end-to-end automatic speech recognition...
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02/15/2021
MAPGN: MAsked Pointer-Generator Network for sequence-to-sequence pre-training
This paper presents a self-supervised learning method for pointer-genera...
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10/29/2020