Abstract

When a band is performing at a public occasion, certain sound effects are expected to be added to enliven the atmosphere. To achieve this effect, microphones and instruments are all connected to an audio mixer, then the expected audio output will be played through the speakers. However, sound engineers always spend plenty of time tuning the mixer until the satisfied results are obtained. This paper presents a smart digital mixer system that integrates touch control, speech control, and commonly used functions on an Android mobile platform to improve the mobility of audio mixer while tuning. The proposed system adopts a digital signal processor (DSP) as the core of the hardware architecture. The application provides a UI interface on an Android mobile phone in order to achieve the functions of speech recognition and touch control. The control commands will be transmitted to DSP via Bluetooth 5.0, self-defined Bluetooth packet format (SBPF), and data transfer controller (DTC). The main contribution of this work is to propose multiple functions of a mixer system with a convenient and interactive user interface. The experimental results show the average accuracy of all respondents reached 92.3%. Moreover, the proposed system has the advantage of having a low-cost hardware circuit design, and provides high flexibility of setting for the audio mixer system according to the user’s preference.

Highlights

  • At large musical events, an audio mixer is used for tuning the results of the sounds by manually adjusting the knobs of the volume or equalizer

  • The structures of the proposed smart system platform design are divided into three parts: (1) digital mixer adjustment (DSP, KT0707), (2) data transfer controller (DTC), and (3) Android APP design

  • The structures of the proposed smart system platform design are divided into three parts: (1) digital mixer adjustment (DSP, KT0707), (2) DTC, and (3) Android APP de3soifg1n2

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Summary

A Low-Cost Smart Digital Mixer System Based on Speech Recognition

Shin-Chi Lai 1 , Ying-Hsiu Hung 2, Yi-Chang Zhu 3, Szu-Ting Wang 3, Ming-Hwa Sheu 2 and Wen-Ho Juang 4,*. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

Introduction
Methods
Hardware Design
Firmware Design
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Proposed APP Design
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