ResearchTrend.AI
Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework

Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework

Hokuto Munakata
Ryo Terashima
Yusuke Fujita
ArXivPDFHTML

Papers citing "Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework"

5 / 5 papers shown
Title
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis
Yuma Shirahata
Ryuichi Yamamoto
Eunwoo Song
Ryo Terashima
Jae-Min Kim
Kentaro Tachibana
31
10
0
28 Oct 2022
Auxiliary Loss of Transformer with Residual Connection for End-to-End Speaker Diarization
Auxiliary Loss of Transformer with Residual Connection for End-to-End Speaker Diarization
Yechan Yu
Dongkeon Park
Hyeongju Kim
26
19
0
14 Oct 2021
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks
Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks
Federico Landini
Jan Profant
Mireia Díez
L. Burget
216
199
0
29 Dec 2020
pyannote.audio: neural building blocks for speaker diarization
pyannote.audio: neural building blocks for speaker diarization
H. Bredin
Ruiqing Yin
Juan Manuel Coria
G. Gelly
Pavel Korshunov
Marvin Lavechin
D. Fustes
Hadrien Titeux
Wassim Bouaziz
Marie-Philippe Gill
197
313
0
04 Nov 2019
End-to-End Neural Speaker Diarization with Self-attention
End-to-End Neural Speaker Diarization with Self-attention
Yusuke Fujita
Naoyuki Kanda
Shota Horiguchi
Yawen Xue
Kenji Nagamatsu
Shinji Watanabe
190
237
0
13 Sep 2019