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12/06/2021
Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization
This paper introduces the proposed automatic minuting system of the Hita...
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09/27/2021
Emotional Speech Synthesis for Companion Robot to Imitate Professional Caregiver Speech
When people try to influence others to do something, they subconsciously...
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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...
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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...
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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...
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12/28/2020
Building Multi lingual TTS using Cross Lingual Voice Conversion
In this paper we propose a new cross-lingual Voice Conversion (VC) appro...
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12/18/2020
End-to-End Speaker Diarization as Post-Processing
This paper investigates the utilization of an end-to-end diarization mod...
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11/16/2020
Block-Online Guided Source Separation
We propose a block-online algorithm of guided source separation (GSS). G...
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07/31/2020
Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones
A novel framework for meeting transcription using asynchronous microphon...
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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...
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06/02/2020
Neural Speaker Diarization with Speaker-Wise Chain Rule
Speaker diarization is an essential step for processing multi-speaker au...
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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...
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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...
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11/06/2019
Addressing Ambiguity of Emotion Labels Through Meta-learning
Emotion labels in emotion recognition corpora are highly noisy and ambig...
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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...
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09/13/2019
End-to-End Neural Speaker Diarization with Self-attention
Speaker diarization has been mainly developed based on the clustering of...
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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...
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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...
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05/29/2019