STCON System for the CHiME-8 Challenge

This paper describes the STCON system for the CHiME-8 Challenge Task 1 (DASR) aimed at distant automatic speech transcription and diarization with multiple recording devices. Our main attention was paid to carefully trained and tuned diarization pipeline and speaker counting. This allowed to signifi...

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Bibliographic Details
Published in:arXiv.org 2024-10
Main Authors: Mitrofanov, Anton, Prisyach, Tatiana, Timofeeva, Tatiana, Novoselov, Sergei, Korenevsky, Maxim, Khokhlov, Yuri, Akulov, Artem, Anikin, Alexander, Khalili, Roman, Lezhenin, Iurii, Melnikov, Aleksandr, Miroshnichenko, Dmitriy, Mamaev, Nikita, Odegov, Ilya, Rudnitskaya, Olga, Romanenko, Aleksei
Format: Article
Language:English
Subjects:
Data augmentation
Separation
Speech recognition
Online Access:Get full text
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Summary:This paper describes the STCON system for the CHiME-8 Challenge Task 1 (DASR) aimed at distant automatic speech transcription and diarization with multiple recording devices. Our main attention was paid to carefully trained and tuned diarization pipeline and speaker counting. This allowed to significantly reduce diarization error rate (DER) and obtain more reliable segments for speech separation and recognition. To improve source separation, we designed a Guided Target speaker Extraction (G-TSE) model and used it in conjunction with the traditional Guided Source Separation (GSS) method. To train various parts of our pipeline, we investigated several data augmentation and generation techniques, which helped us to improve the overall system quality.
ISSN:2331-8422