OMX Helsinki — S&P 500 — DAX — NASDAQ 100 — STOXX 600 — EUR/USD — EUR/SEK — BTC/USD — ETH/USD — Euribor 3M — Euribor 12M —
Microsoft Research

Microsoft Research

Technology and AI 359,000 subscribers

A Directionally Tunable but Frequency-Invariant Beamformer for an “Acoustic Velocity-Sensor Triad”

11.10.2019
Published: 11.10.2019 Category: Technology and AI

Episode details

Episode description

"A Directionally Tunable but Frequency-Invariant Beamformer for an “Acoustic Velocity-Sensor Triad” to Enhance Speech Perception Herein presented is a simple microphone-array beamformer that is independent of the frequency-spectra of all signals, all interference, and all noises. This beamformer allows/requires the listener to tune the desired azimuth-elevation “look direction.” No prior information is needed of the interference. The beamformer deploys a physically compact triad of three collocated but orthogonally oriented velocity sensors. These proposed schemes’ efficacy is verified by a jury test, using simulated data constructed with speech samples. For example, a desired speech signal, originally at a very adverse signal-to-interference-and-noise power ratio (SINR) of -30 dB, may be processed to become fully intelligible to the jury."

Open the AI assistant chat. The chat loads only when you open it.