tailieunhanh - An evaluation of some factors affecting accuracy of the Vietnamese keyword spotting system

Keyword spotting (KWS) is one of the important systems on speech applications, such as data mining, call routing, call center, customer-controlled smartphone, smart home systems with voice control, etc. With the goals of researching some factors affecting the Vietnamese Keyword spotting system, we study the combination architecture of CNN (Convolutional Neural Networks)-RNN (Recurrent Neural Networks) on both clean and noise environments with 2 distance speaker cases: 1m and 2m. The obtained results show that the noise trained models are better performance than clean trained models in any (clean or noise) testing environment. The results in this far-field experiment suggest to us how to choose the suitable distance of the recording microphones to the speaker so that there is no redundancy of data with the contexts considered to be the same. | An evaluation of some factors affecting accuracy of the Vietnamese keyword spotting system

TÀI LIỆU MỚI ĐĂNG
34    213    1    04-05-2024
10    119    0    04-05-2024
8    110    0    04-05-2024
11    101    0    04-05-2024
6    88    0    04-05-2024
380    95    0    04-05-2024
crossorigin="anonymous">
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.