The new miniDSP UMA-8 is a high-performance yet low-cost multichannel USB microphone array built around XMOS multicore technology, designed for voice-recognition application development. Seven high-performance MEMS microphones are configured in a circular arrangement to provide high-quality voice capture for a wide range of applications.

1. Mems Microphone Array Diy Ideas

Mems Microphone Array Diy Ideas

1. Adafruit Industries, Unique & fun DIY electronics and kits Adafruit Silicon MEMS Microphone Breakout - SPW2430 ID: 2716 - Listen to this good news - we now have a breakout board for a super tiny MEMS microphone. Just like 'classic' electret microphones, MEMS mics can detect sound and convert it to voltage, but they don't need a bias resistor or amplifier, its all in one!
2. A MEMS microphone array can be used to enhance the desired sound and to reduce the undesired sounds and thus improve the SNR of the system. Comparing poor and improved signal-to-noise ratio waveforms. In constructing a MEMS microphone array, two or more microphones are used to collect audio sounds and the electrical signals from each microphone.

Leveraging the onboard DSP processing, the UMA-8 supports voice algorithms including beamforming, noise reduction, acoustic echo cancellation, and de-reverb.Developed with applications in voice-activated control, smart assistants, robotics, conferencing, and more in mind, the UMA-8 pocket-size platform targets both DIYers and the OEM market, and was engineered for flexibility in firmware, software and hardware. For advanced users, full control and configuration of the DSP array processing parameters are available with a real-time GUI. This can be used to fine tune the various algorithms: acoustic echo cancellation, noise reduction, voice activation detect, and so on, dramatically improving voice pickup.The UMA-8 costs $95. Step-by-step application notes are available for setup and configuration of the UMA-8 with the most common smart assistants currently available, including Amazon Alexa Voice + Raspberry Pi, Microsoft Cortana, and Apple Siri. MiniDSP will be expanding those application notes in the future.miniDSP.

This paper proposes the use of a signal acquisition and processing system based on an planar array of MEMS (Microelectromechanical Systems) microphones to obtain acoustic images of a fan matrix. A matrix of PC fans has been implemented to perform the study. Some tests to obtain the acoustic images of the individual fans and of the whole matrix have been defined and have been carried out inside.