Noise Cancellation Algorithm of Bone Conduction Speech Signal using Feature of Noise in Separated Band

Lee, Jina; Lee, Gihyoun; Na, Sung Dae; Seong, Ki Woong; Cho, Jin Ho; Kim, Myoung Nam

doi:10.9717/kmms.2016.19.2.128

Cited by 2 publications

(2 citation statements)

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“…In addition, the correlation coefficient between the collected speech signals through the separation plate-type and mask-type nasometric instruments is expressed by Equation (9). In general, the correlation coefficient can be calculated using the sample mean x and y, and standard deviation of the two signals x and y [4,12], where x and y are the voice signals measured through a microphone in the nasal and oral directions, respectively. Correlation coefficients were analyzed using the two measured vocal signals through the oral and nasal microphones when speaking the same word.…”

Section: Resultsmentioning

confidence: 99%

“…With the development of medical technology, interest in rehabilitation welfare is increasing and various rehabilitation devices are being researched and developed [1][2][3][4][5]. Among them, speech therapy devices are increasingly attracting attention owing to rehabilitation and welfare support for people with communication disabilities such as hearing impairments.…”

Section: Introductionmentioning

confidence: 99%

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Influence of the Nasometric Instrument Structure on Nasalance Score

Woo

Park

et al. 2019

Applied Sciences

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Owing to the development of medical technology, devices to assess resonance (hypernasality and hyponasality) which result from conditions such as cleft palate and brain injury are being studied. In general, nasometric instruments are used to support clinical judgments of these disorders. For conventional separation-type nasometric instruments, there is an acoustic feedback effect between oral and nasal sounds. Recently, a mask-type nasometric instrument was developed for acoustic feedback insensitivity, but it has not yet been popularized. In this study, we analyzed the acoustic characteristics of the mask-type structure according to existing nasometric instruments. We evaluated the acoustic collection characteristics of the structure through the lumped-element model with an electromechanical-equivalent circuit. The analysis confirmed that the optimum area of the acoustic hole was obtained and a closed-type mask structure could be designed. In addition, we obtained voice data from a healthy control group and examined significant differences in the structure of the separation-type and mask-type nasometric instruments. Consequently, we confirmed a significant difference in nasalance according to the acoustic collection structure of the nasometric instruments.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of the Nasometric Instrument Structure on Nasalance Score

Woo

Park

et al. 2019

Applied Sciences

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Noise reduction algorithm with the soft thresholding based on the Shannon entropy and bone-conduction speech cross- correlation bands

Wei

Seong

et al. 2018

THC

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BACKGROUND: The conventional methods of speech enhancement, noise reduction, and voice activity detection are based on the suppression of noise or non-speech components of the target air-conduction signals. However, air-conduced speech is hard to differentiate from babble or white noise signals.OBJECTIVE: To overcome this problem, the proposed algorithm uses the bone-conduction speech signals and soft thresholding based on the Shannon entropy principle and cross-correlation of air- and bone-conduction signals.METHODS: A new algorithm for speech detection and noise reduction is proposed, which makes use of the Shannon entropy principle and cross-correlation with the bone-conduction speech signals to threshold the wavelet packet coefficients of the noisy speech.RESULTS: The proposed method can be get efficient result by objective quality measure that are PESQ, RMSE, Correlation, SNR.CONCLUSION: Each threshold is generated by the entropy and cross-correlation approaches in the decomposed bands using the wavelet packet decomposition. As a result, the noise is reduced by the proposed method using the MATLAB simulation. To verify the method feasibility, we compared the air- and bone-conduction speech signals and their spectra by the proposed method. As a result, high performance of the proposed method is confirmed, which makes it quite instrumental to future applications in communication devices, noisy environment, construction, and military operations.

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Noise Cancellation Algorithm of Bone Conduction Speech Signal using Feature of Noise in Separated Band

Cited by 2 publications

References 2 publications

Influence of the Nasometric Instrument Structure on Nasalance Score

Influence of the Nasometric Instrument Structure on Nasalance Score

Noise reduction algorithm with the soft thresholding based on the Shannon entropy and bone-conduction speech cross- correlation bands

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