Fundamentals of Microphone Array Processing

Benesty, Jacob; Huang, Gongping; Chen, Jingdong; Pan, Ningning

doi:10.1007/978-3-031-36974-2_3

Cited by 2 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SSL is typically achieved using microphone arrays based on evaluation of the difference in time or intensity between the two microphones at which the sound arrives. To prevent the phase differences from being blurred and to achieve accurate SSL, the distance between adjacent microphones in a microphone array is required to be as long as possible, within half the wavelength of the incident sound [11]. The wavelength of sound waves is large, making it difficult to miniaturize microphone arrays.…”

Section: Introductionmentioning

confidence: 99%

Prototype Optical Bionic Microphone with a Dual-Channel Mach–Zehnder Interferometric Transducer

Liu

Cai

et al. 2023

Sensors

View full text Add to dashboard Cite

A prototype optical bionic microphone with a dual-channel Mach–Zehnder interferometric (MZI) transducer was designed and prepared for the first time using a silicon diaphragm made by microelectromechanical system (MEMS) technology. The MEMS diaphragm mimicked the structure of the fly Ormia Ochracea’s coupling eardrum, consisting of two square wings connected through a neck that is anchored via the two torsional beams to the silicon pedestal. The vibrational displacement of each wing at its distal edge relative to the silicon pedestal is detected with one channel of the dual-channel MZI transducer. The diaphragm at rest is coplanar with the silicon pedestal, resulting in an initial phase difference of zero for each channel of the dual-channel MZI transducer and consequently offering the microphone strong temperature robustness. The two channels of the prototype microphone show good consistency in their responses to incident sound signals; they have the rocking and bending resonance frequencies of 482 Hz and 1911 Hz, and their pressure sensitivities at a lower frequency exhibit an “8”-shaped directional dependence. The comparison indicates that the dual-channel MZI transducer-based bionic microphone proposed in this work is advantageous over the Fabry–Perot interferometric transducer-based counterparts extensively reported.

show abstract

Section: Introductionmentioning

confidence: 99%

Prototype Optical Bionic Microphone with a Dual-Channel Mach–Zehnder Interferometric Transducer

Liu

Cai

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The primary objective of speech dereverberation is to eliminate or reduce late reflections in the observed speech signal. It is well known that while the early reflections are not harmful and, in some cases, even might improve the speech intelligibility [1][2][3], the late reflections are a significant contributing factor to the degradation in speech quality and intelligibility [4][5][6]. By mitigating the effects of reverberation, dereverberation techniques aim to restore the clarity and intelligibility of the captured speech, ultimately enhancing the performance of various speech processing applications.…”

Section: Introductionmentioning

confidence: 99%

Crossband Filtering for Weighted Prediction Error-Based Speech Dereverberation

Rosenbaum,

Cohen,

Winebrand

2023

Applied Sciences

View full text Add to dashboard Cite

Weighted prediction error (WPE) is a linear prediction-based method extensively used to predict and attenuate the late reverberation component of an observed speech signal. This paper introduces an extended version of the WPE method to enhance the modeling accuracy in the time–frequency domain by incorporating crossband filters. Two approaches to extending the WPE while considering crossband filters are proposed and investigated. The first approach improves the model’s accuracy. However, it increases the computational complexity, while the second approach maintains the same computational complexity as the conventional WPE while still achieving improved accuracy and comparable performance to the first approach. To validate the effectiveness of the proposed methods, extensive simulations are conducted. The experimental results demonstrate that both methods outperform the conventional WPE regarding dereverberation performance. These findings highlight the potential of incorporating crossband filters in improving the accuracy and efficacy of the WPE method for dereverberation tasks.

show abstract

Fundamentals of Microphone Array Processing

Cited by 2 publications

References 11 publications

Prototype Optical Bionic Microphone with a Dual-Channel Mach–Zehnder Interferometric Transducer

Prototype Optical Bionic Microphone with a Dual-Channel Mach–Zehnder Interferometric Transducer

Crossband Filtering for Weighted Prediction Error-Based Speech Dereverberation

Contact Info

Product

Resources

About