b'Naoyuki Kanda'

research

∙ 05/21/2023

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

The convergence of text, visual, and audio data is a key step towards hu...

0 ZiYi Yang, et al. ∙

research

∙ 11/11/2022

Breaking trade-offs in speech separation with sparsely-gated mixture of experts

Several trade-offs need to be balanced when employing monaural speech se...

0 Xiaofei Wang, et al. ∙

research

∙ 11/09/2022

Speech separation with large-scale self-supervised learning

Self-supervised learning (SSL) methods such as WavLM have shown promisin...

0 Zhuo Chen, et al. ∙

research

∙ 10/27/2022

Simulating realistic speech overlaps improves multi-talker ASR

Multi-talker automatic speech recognition (ASR) has been studied to gene...

0 Muqiao Yang, et al. ∙

research

∙ 09/12/2022

VarArray Meets t-SOT: Advancing the State of the Art of Streaming Distant Conversational Speech Recognition

This paper presents a novel streaming automatic speech recognition (ASR)...

6 Naoyuki Kanda, et al. ∙

research

∙ 08/27/2022

Target Speaker Voice Activity Detection with Transformers and Its Integration with End-to-End Neural Diarization

This paper describes a speaker diarization model based on target speaker...

0 Dongmei Wang, et al. ∙

research

∙ 05/03/2022

i-Code: An Integrative and Composable Multimodal Learning Framework

Human intelligence is multimodal; we integrate visual, linguistic, and a...

1 ZiYi Yang, et al. ∙

research

∙ 04/07/2022

Leveraging Real Conversational Data for Multi-Channel Continuous Speech Separation

Existing multi-channel continuous speech separation (CSS) models are hea...

0 Xiaofei Wang, et al. ∙

research

∙ 03/30/2022

Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings

This paper presents a streaming speaker-attributed automatic speech reco...

0 Naoyuki Kanda, et al. ∙

research

∙ 02/02/2022

Streaming Multi-Talker ASR with Token-Level Serialized Output Training

This paper proposes a token-level serialized output training (t-SOT), a ...

0 Naoyuki Kanda, et al. ∙

research

∙ 10/27/2021

Separating Long-Form Speech with Group-Wise Permutation Invariant Training

Multi-talker conversational speech processing has drawn many interests f...

0 Wangyou Zhang, et al. ∙

research

∙ 10/26/2021

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Self-supervised learning (SSL) achieves great success in speech recognit...

0 Sanyuan Chen, et al. ∙

research

∙ 10/13/2021

All-neural beamformer for continuous speech separation

Continuous speech separation (CSS) aims to separate overlapping voices f...

0 Zhuohuang Zhang, et al. ∙

research

∙ 10/12/2021

VarArray: Array-Geometry-Agnostic Continuous Speech Separation

Continuous speech separation using a microphone array was shown to be pr...

0 Takuya Yoshioka, et al. ∙

research

∙ 10/07/2021

Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR

This paper presents Transcribe-to-Diarize, a new approach for neural spe...

0 Naoyuki Kanda, et al. ∙

research

∙ 10/06/2021

Internal Language Model Adaptation with Text-Only Data for End-to-End Speech Recognition

Text-only adaptation of an end-to-end (E2E) model remains a challenging ...

0 Zhong Meng, et al. ∙

research

∙ 07/06/2021

A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio

Speaker-attributed automatic speech recognition (SA-ASR) is a task to re...

0 Naoyuki Kanda, et al. ∙

research

∙ 07/05/2021

Investigation of Practical Aspects of Single Channel Speech Separation for ASR

Speech separation has been successfully applied as a frontend processing...

0 Jian Wu, et al. ∙

research

∙ 06/04/2021

Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition

Integrating external language models (LMs) into end-to-end (E2E) models ...

0 Zhong Meng, et al. ∙

research

∙ 04/05/2021

End-to-End Speaker-Attributed ASR with Transformer

This paper presents our recent effort on end-to-end speaker-attributed a...

0 Naoyuki Kanda, et al. ∙

research

∙ 04/05/2021

Streaming Multi-talker Speech Recognition with Joint Speaker Identification

In multi-talker scenarios such as meetings and conversations, speech pro...

0 Liang Lu, et al. ∙

research

∙ 03/31/2021

Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone

Transcribing meetings containing overlapped speech with only a single di...

0 Naoyuki Kanda, et al. ∙

research

∙ 02/11/2021

Speech-language Pre-training for End-to-end Spoken Language Understanding

End-to-end (E2E) spoken language understanding (SLU) can infer semantics...

9 Yao Qian, et al. ∙

research

∙ 02/02/2021

Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition

The efficacy of external language model (LM) integration with existing e...

0 Zhong Meng, et al. ∙

research

∙ 01/24/2021

A Review of Speaker Diarization: Recent Advances with Deep Learning

Speaker diarization is a task to label audio or video recordings with cl...

3 Tae Jin Park, et al. ∙

research

∙ 01/06/2021

Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings

An end-to-end (E2E) speaker-attributed automatic speech recognition (SA-...

0 Xuankai Chang, et al. ∙

research

∙ 11/26/2020

Streaming end-to-end multi-talker speech recognition

End-to-end multi-talker speech recognition is an emerging research trend...

0 Liang Lu, et al. ∙

research

∙ 11/05/2020

Exploring End-to-End Multi-channel ASR with Bias Information for Meeting Transcription

Joint optimization of multi-channel front-end and automatic speech recog...

0 Xiaofei Wang, et al. ∙

research

∙ 11/03/2020

Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR

Recently, an end-to-end speaker-attributed automatic speech recognition ...

0 Naoyuki Kanda, et al. ∙

research

∙ 11/03/2020

Integration of speech separation, diarization, and recognition for multi-speaker meetings: System description, comparison, and analysis

Multi-speaker speech recognition of unsegmented recordings has diverse a...

0 Desh Raj, et al. ∙

research

∙ 11/03/2020

Internal Language Model Estimation for Domain-Adaptive End-to-End Speech Recognition

The external language models (LM) integration remains a challenging task...

0 Zhong Meng, et al. ∙

research

∙ 10/23/2020

On Minimum Word Error Rate Training of the Hybrid Autoregressive Transducer

Hybrid Autoregressive Transducer (HAT) is a recently proposed end-to-end...

0 Liang Lu, et al. ∙

research

∙ 10/22/2020

Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020

This paper describes the Microsoft speaker diarization system for monaur...

0 Xiong Xiao, et al. ∙

research

∙ 08/11/2020

Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker Recordings

Recently, an end-to-end (E2E) speaker-attributed automatic speech recogn...

0 Naoyuki Kanda, et al. ∙

research

∙ 06/19/2020

Joint Speaker Counting, Speech Recognition, and Speaker Identification for Overlapped Speech of Any Number of Speakers

We propose an end-to-end speaker-attributed automatic speech recognition...

0 Naoyuki Kanda, et al. ∙

research

∙ 03/28/2020

Serialized Output Training for End-to-End Overlapped Speech Recognition

This paper proposes serialized output training (SOT), a novel framework ...

0 Naoyuki Kanda, et al. ∙

research

∙ 09/17/2019

Simultaneous Speech Recognition and Speaker Diarization for Monaural Dialogue Recordings with Target-Speaker Acoustic Models

This paper investigates the use of target-speaker automatic speech recog...

0 Naoyuki Kanda, et al. ∙

research

∙ 09/13/2019

End-to-End Neural Speaker Diarization with Self-attention

Speaker diarization has been mainly developed based on the clustering of...

0 Yusuke Fujita, et al. ∙

research

∙ 09/12/2019

End-to-End Neural Speaker Diarization with Permutation-Free Objectives

In this paper, we propose a novel end-to-end neural-network-based speake...

0 Yusuke Fujita, et al. ∙

research

∙ 06/26/2019

Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition

In this paper, we propose a novel auxiliary loss function for target-spe...

0 Naoyuki Kanda, et al. ∙

research

∙ 05/29/2019

Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR

In this paper, we present Hitachi and Paderborn University's joint effor...

0 Naoyuki Kanda, et al. ∙

Naoyuki Kanda

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