Improved Speech Recognition by Compensating for Frequency Response in the MEMS Microphone Installation Space

2020 ◽  
Vol 18 (12) ◽  
pp. 11-17
Author(s):  
Hyun-Kab Kim ◽  
Gyu-Sik Kim
2018 ◽  
Vol 47 (3) ◽  
pp. 211-216 ◽  
Author(s):  
D. M. Grigor’ev ◽  
I. V. Godovitsyn ◽  
V. V. Amelichev ◽  
S. S. Generalov

1987 ◽  
Vol 30 (3) ◽  
pp. 377-386 ◽  
Author(s):  
Dianne J. Van Tasell ◽  
Jeilry L. Yanz

Speech recognition threshold (SRT) was measured in quiet and in noise for normal-hearing subjects and subjects with high-frequency sensorineural hearing loss. For the hearing-impaired subjects, SRT in quiet approximated the amount of hearing loss in the frequency region of importance for each of two sets of speech materials—spondees and monosyllables. With changes in frequency response of the stimulus delivery system, SRT shifted differentially for spondees and monosyllables. The speed, reliability, and apparent sensitivity of the SRT in quiet and noise to frequency response characteristics make it a potentially useful tool for hearing aid evaluation if speech materials appropriate to both the hearing loss configuration and the frequency response of amplification are chosen.


2020 ◽  
Vol 67 (9) ◽  
pp. 1509-1513
Author(s):  
Youngtae Yang ◽  
Byunggyu Lee ◽  
Jun Soo Cho ◽  
Suhwan Kim ◽  
Hyunjoong Lee

2018 ◽  
Vol 20 (8) ◽  
pp. 491-497
Author(s):  
D.M. Grigor'ev ◽  
◽  
I.V. Godovitsyn ◽  
V.V. Amelichev ◽  
A.V. Il'kov ◽  
...  

2009 ◽  
Vol 16 (5) ◽  
pp. 809-815 ◽  
Author(s):  
Matthias Winter ◽  
Gregor Feiertag ◽  
Anton Leidl ◽  
Helmut Seidel

2011 ◽  
Vol 421 ◽  
pp. 410-414
Author(s):  
Jin Wei Yu

In this paper, conception and method of bias and linearity analysis of measurement system are introduced , Minitab software are used to analyze bias and linearity of measurement system of MEMS microphone frequency response and sensitivity, conception of composite measurement system is put forward, and having effectively analyzed for it .According to the study result, the method which use whole bias value correct measurement system is discovered ,and forecast the improved measurement by using Minitab software system, after it is used product practice , greatly enhances reliability of measure data of MEMS microphone measurement system.


2019 ◽  
Vol 30 (06) ◽  
pp. 502-515
Author(s):  
Kimberly T. Ledda ◽  
Michael Valente ◽  
Kristi Oeding ◽  
Dorina Kallogjeri

AbstractHearing loss can lead to isolation and social withdrawal. The telephone oftentimes connects persons with hearing loss to society; however, telephone use is impeded by narrow bandwidth, loss of visual cues, electromagnetic interference, and inherent phone-line noise. In the past, research assessing telephone communication has consistently reported that switching from the microphone to a telecoil will typically result in the acoustic signal being discernibly softer. Properly used telecoils improve the signal-to-noise ratio (SNR), decrease the chance for acoustic feedback, and overcome the impact of distance and reverberation creating an opportunity for clearer telephone communication. Little research, however, has examined matching the telecoil frequency response to the prescribed target of the microphone frequency response (National Acoustics Laboratories, Non-Linear, version 1 [NAL-NL1]).The primary goal of this study was to determine if differences exist in speech recognition for sentences (AZ-BIO) and consonant–vowel nucleus-consonant monosyllabic words (CNC) between two telecoil conditions (default and programmed). A secondary goal was to determine if differences exist in speech recognition for sentences between male and female talkers.A single-blinded randomized controlled trial.Twenty experienced adult hearing aid users with bilateral symmetric slight to severe sensorineural hearing loss were recruited from Washington University in St. Louis School of Medicine. In addition, ten normal-hearing participants were recruited to determine the presentation level of the speech stimuli for the hearing aid participants.Participants underwent real-ear measures to program the microphone frequency response of a receiver-in-the-canal hearing aid to NAL-NL1. Using the manufacturer software, one telecoil program remained as the manufacturer default and a second telecoil program was programmed so the sound pressure level for an inductive telephone simulator frequency response matching the microphone’s frequency response to obtain as close to a 0 dB relative simulated equivalent telephone sensitivity value as possible. Participants then completed speech recognition measures including AZ-BIO sentences (male and female talkers) and CNC monosyllabic words and phonemes, using both telecoil programs. A mixed model analysis was performed to examine if significant differences in speech recognition exist between the two conditions and speech stimuli.Results revealed significant improvement in overall speech recognition for the programmed telecoil performance compared with default telecoil performance (p < 0.001). Also, improved performance in the programmed telecoil was reported with a male talker (p < 0.001) and performance for sentences compared with monosyllabic words (p < 0.001) or phonemes (p < 0.001).The programmed telecoil condition revealed significant improvement in speech recognition for all speech stimuli conditions compared with the default telecoil (sentences, monosyllables, and phonemes). Additional improvement was observed in both telecoil conditions when the talker was male.


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