Presentation 2024-03-14
Consideration on divisions and combinations of Learning Data for Speaker Diarization in Multiple Speakers
Kaito Uemura, Keiichi Horio,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Today, the importance of a speech segment detection technique called speaker diarization is increasing, mainly in the fields of conference, news, and telephone speech. However, conventional neural network-based speaker diarization assumes a large amount of training data. In this study, training data was generated by recording the speech of two speakers of the same gender and creating a synthetic voice by splitting and combining them. The effect of the number of segmentations and combinations on the accuracy of the test data was verified.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Diarization / Bidirectional LSTM / voice recognition
Paper # SIS2023-48
Date of Issue 2024-03-07 (SIS)

Conference Information
Committee SIS
Conference Date 2024/3/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kanagawa Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) Soft computing, etc.
Chair Tomoaki Kimura(Kanagawa Inst. of Tech.)
Vice Chair Naoto Sasaoka(Tottori Univ.) / Hakaru Tamukoh(Kyushu Inst. of Tech.)
Secretary Naoto Sasaoka(Kanagawa Inst. of Tech.) / Hakaru Tamukoh(Kansai Univ.)
Assistant Yuichiro Tanaka(kyushu Inst. of Tech.) / Yosuke Sugiura(Saitama Univ.)

Paper Information
Registration To Technical Committee on Smart Info-Media Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Consideration on divisions and combinations of Learning Data for Speaker Diarization in Multiple Speakers
Sub Title (in English)
Keyword(1) Diarization
Keyword(2) Bidirectional LSTM
Keyword(3) voice recognition
1st Author's Name Kaito Uemura
1st Author's Affiliation Kyushu Institute of Technology(Kyushu Institute of Technology)
2nd Author's Name Keiichi Horio
2nd Author's Affiliation Kyushu Institute of Technology(Kyushu Institute of Technology)
Date 2024-03-14
Paper # SIS2023-48
Volume (vol) vol.123
Number (no) SIS-440
Page pp.pp.17-20(SIS),
#Pages 4
Date of Issue 2024-03-07 (SIS)