research
∙
06/04/2023
End-to-End Joint Target and Non-Target Speakers ASR
This paper proposes a novel automatic speech recognition (ASR) system th...
share
research
∙
05/24/2023
Downstream Task Agnostic Speech Enhancement with Self-Supervised Representation Loss
Self-supervised learning (SSL) is the latest breakthrough in speech proc...
research
∙
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 ...
research
∙
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...
research
∙
11/22/2021
Hierarchical Knowledge Distillation for Dialogue Sequence Labeling
This paper presents a novel knowledge distillation method for dialogue s...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
06/23/2021
Enrollment-less training for personalized voice activity detection
We present a novel personalized voice activity detection (PVAD) learning...
research
∙
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...
research
∙
03/02/2021
Audio-Visual Speech Separation Using Cross-Modal Correspondence Loss
We present an audio-visual speech separation learning method that consid...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
10/29/2020
