Audio Signal Transmission Over Low-Speed Communication Channels for Emergency Broadcast

K. Denis, P. Anisimov, L. Statsenko
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Abstract

Real-time audio signal processing is a particularly difficult task. It is requiring significant computing resources of signal processing tools, as well as a special approach to writing software. This article demonstrates a block diagram of the device and describes algorithm, which realize a recording of a signal, speech recognition process, compressing, coding and transmitting. LabView15 is used as the development environment, and myRIO-1900 with FPGA is used to develop the device. The Python programming language is used to implement the algorithm for detecting speech in a noisy signal. A method based on the formant theory of intelligibility was used as a method of recognizing a speech signal. The device allows to perform real-time analysis of the operation of signal processing algorithms.
基于低速通信信道的应急广播音频信号传输
实时音频信号处理是一项特别困难的任务。它需要大量的信号处理工具的计算资源,以及编写软件的特殊方法。本文给出了该装置的框图和实现算法,实现了信号的记录、语音识别、压缩、编码和传输。采用LabView15作为开发环境,采用带FPGA的myRIO-1900进行开发。使用Python编程语言实现在噪声信号中检测语音的算法。提出了一种基于可理解性形成峰理论的语音信号识别方法。该装置允许对信号处理算法的操作进行实时分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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