research
∙
05/28/2023
CAPTDURE: Captioned Sound Dataset of Single Sources
In conventional studies on environmental sound separation and synthesis ...
share
research
∙
05/24/2023
Spoofing Attacker Also Benefits from Self-Supervised Pretrained Model
Large-scale pretrained models using self-supervised learning have report...
research
∙
10/07/2022
Mutual Learning of Single- and Multi-Channel End-to-End Neural Diarization
Due to the high performance of multi-channel speech processing, we can u...
research
∙
06/06/2022
Online Neural Diarization of Unlimited Numbers of Speakers
A method to perform offline and online speaker diarization for an unlimi...
research
∙
05/25/2022
Rethinking Fano's Inequality in Ensemble Learning
We propose a fundamental theory on ensemble learning that evaluates a gi...
research
∙
04/24/2022
Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization
This paper investigates a method for simulating natural conversation in ...
research
∙
12/01/2021
Environmental Sound Extraction Using Onomatopoeia
Onomatopoeia, which is a character sequence that phonetically imitates a...
research
∙
10/10/2021
Multi-Channel End-to-End Neural Diarization with Distributed Microphones
Recent progress on end-to-end neural diarization (EEND) has enabled over...
research
∙
07/04/2021
Towards Neural Diarization for Unlimited Numbers of Speakers Using Global and Local Attractors
Attractor-based end-to-end diarization is achieving comparable accuracy ...
research
∙
06/20/2021
Encoder-Decoder Based Attractor Calculation for End-to-End Neural Diarization
This paper investigates an end-to-end neural diarization (EEND) method f...
research
∙
06/09/2021
Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization
In this paper, we present a semi-supervised training technique using pse...
research
∙
06/08/2021
End-to-End Speaker Diarization Conditioned on Speech Activity and Overlap Detection
In this paper, we present a conditional multitask learning method for en...
research
∙
02/02/2021
The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap
This paper provides a detailed description of the Hitachi-JHU system tha...
research
∙
01/21/2021
Online End-to-End Neural Diarization Handling Overlapping Speech and Flexible Numbers of Speakers
This paper proposes an online end-to-end diarization that can handle ove...
research
∙
12/18/2020
End-to-End Speaker Diarization as Post-Processing
This paper investigates the utilization of an end-to-end diarization mod...
research
∙
11/16/2020
Block-Online Guided Source Separation
We propose a block-online algorithm of guided source separation (GSS). G...
research
∙
07/31/2020
Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones
A novel framework for meeting transcription using asynchronous microphon...
research
∙
06/04/2020
Online End-to-End Neural Diarization with Speaker-Tracing Buffer
End-to-end speaker diarization using a fully supervised self-attention m...
research
∙
06/02/2020
Neural Speaker Diarization with Speaker-Wise Chain Rule
Speaker diarization is an essential step for processing multi-speaker au...
research
∙
05/20/2020
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors
End-to-end speaker diarization for an unknown number of speakers is addr...
research
∙
02/24/2020
End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification
The most common approach to speaker diarization is clustering of speaker...
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...
research
∙
09/13/2019
End-to-End Neural Speaker Diarization with Self-attention
Speaker diarization has been mainly developed based on the clustering of...
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...
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...
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...
research
∙
04/08/2018
Personalized Classifier for Food Image Recognition
Currently, food image recognition tasks are evaluated against fixed data...
research
∙
12/29/2017