| Title: | Software for recognizing speaker by voice |
| Authors: | Chen Zhengyu |
| Keywords: | материалы конференций;speaker recognition;feature Extraction;neural networks |
| Issue Date: | 2025 |
| Publisher: | БГУИР |
| Citation: | Chen Zhengyu. Software for recognizing speaker by voice / Chen Zhengyu // Информационная безопасность : сборник материалов 61-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 21–25 апреля 2025 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2025. – С. 14–17. |
| Abstract: | . FBank (Filter Bank) is a front-end processing algorithm that processes audio in a way similar to the human ear and extracts features
to improve the performance of speech recognition. The system uses an efficient context-aware masking-based network, CAM++, which uses a
densely connected time-delay neural network (D-TDNN) as the backbone and adopts a novel multi-granularity pooling to capture different levels of
context information.Based on the respective advantages of FBank and CAM++ models, this study designs a software for recognizing speaker by
voice and implements the system through pytorch. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/61457 |
| Appears in Collections: | Информационная безопасность : материалы 61-й научной конференции аспирантов, магистрантов и студентов (2025)
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