Design of wireless audio transmission system for college English language teaching

In the past, the use of wireless microphone was affected by overload noise, resulting in incomplete transmission of teaching content. In order to solve this problem, a wireless audio transmission system design for College English language teaching is proposed. The overall architecture of SEP6010 wireless voice system is designed, which is output by PWM channel to complete voice playback. UDA1341TS low-power stereo analog-to-digital converter is used to control audio transmission. The voice circuit is designed by adding clock signal or internal programmable clock. The A/D conversion module is used to amplify the collected signal, and the original voice signal is restored through the audio playback module. MATLAB is used to simulate the process of encoding, decoding and filtering. According to CVSD quantization integral coding algorithm, the quantization noise is reduced to a given allowable value. Start Audacity software to complete wireless audio transmission. The experimental results show that the highest transmission teaching content integrity of the system under single frequency input is 98%, and the highest transmission teaching content integrity under mixing input is 93%.

Federated Learning for Audio Semantic Communication

In this paper, the problem of audio semantic communication over wireless networks is investigated. In the considered model, wireless edge devices transmit large-sized audio data to a server using semantic communication techniques. The techniques allow devices to only transmit audio semantic information that captures the contextual features of audio signals. To extract the semantic information from audio signals, a wave to vector (wav2vec) architecture based autoencoder is proposed, which consists of convolutional neural networks (CNNs). The proposed autoencoder enables high-accuracy audio transmission with small amounts of data. To further improve the accuracy of semantic information extraction, federated learning (FL) is implemented over multiple devices and a server. Simulation results show that the proposed algorithm can converge effectively and can reduce the mean squared error (MSE) of audio transmission by nearly 100 times, compared to a traditional coding scheme.

A Study on A Smart Firefighting Helmet Capable Of Video / Audio Transmission Based On The Firefighting Standard Disaster System

In this paper, in order to effectively respond and rescue lives in a disaster scene, the site and the command center design a smart firefighting helmet to exchange information and make accurate decisions, and propose an algorithm that can transmit and receive video and audio through it. do. Recently, there have been cases in which a rapid response has not been made due to the situation inside the disaster site and delay in communication. So, we propose a design and communication algorithm of a smart firefighting helmet that can transmit voice and video using a firefighting helmet and communicate without a separate radio operation.

Throughput of an IEEE 802.11 Wireless Network in the Presence of Wireless Audio Transmission: A Laboratory Analysis

Wireless networks, including IEEE 802.11-based or Wi-Fi networks, are inexpensive and easy to install and therefore serve as useful connectivity alternatives in areas lacking wired-network infrastructure. However, IEEE 802.11 networks may not always provide the seamless connectivity and minimal throughput required for Industry 4.0 communications because of their susceptibility to interference from other devices operating in the unlicensed “Industrial, Scientific, and Medical” frequency band. Here we analyzed how a wireless audio transmitter operating on this band influences the throughput of an IEEE 802.11 b/g/n network under laboratory conditions. Wireless audio transmission reduced mean throughput by 85%, rendering the IEEE 802.11 b/g/n network nearly unusable. Our analysis suggests that in order for IEEE 802.11 wireless networks to support Industrial 4.0 applications, attention should be paid to the physical layer as well as the data or upper layers, and critical services should not transmit on the 2.4 GHz band. These findings may contribute to understanding and managing IEEE 802.11 wireless networks in various Industry 4.0 contexts.

Performance enhancement of audio transmission based on LMMSE method

<p class="Abstract"><span>The research in wireless communication has developed rapidly for the last decades as a result of raising the demand for efficient data transmission with more security and accuracy. This paper proposed a system based on the special multiplexing (SM) technique and linear minimum mean square error (LMMSE) detection method with the assistance of the hamming code as well as the interleaving techniques for a better enhanced performance of an audio transmission. Moreover, the comparison was done between the two systems for different antenna configurations and with the presence of two types of modulation: binary phase shift key and quateradure phase shift key. These systems are employed by Matlab simulation to show significant results in terms of enhancing the Rayleigh fading channel capacity, bit error rate (BER) and security as well as in recovering the transmitting audio signals. Each system has advantages than the others in one performance term respect to the other terms. The Simulation results have provided to prove and discuss our analysis.</span></p>