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

机译:通过低速通信通道进行音频信号传输以进行紧急广播

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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.
机译:实时音频信号处理是一项特别困难的任务。这需要信号处理工具的大量计算资源,以及编写软件的特殊方法。本文演示了该设备的框图并介绍了算法,该算法可实现信号记录,语音识别过程,压缩,编码和传输。 LabView15被用作开发环境,而带有FPGA的myRIO-1900被用于开发该设备。使用Python编程语言来实现用于检测噪声信号中语音的算法。使用基于共振峰的共振峰理论的方法作为识别语音信号的方法。该设备允许对信号处理算法的操作进行实时分析。

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