Improving short utterance speaker verification by combining MFCC and Entrocy in Noisy conditions

Al-Karawi, Khamis A.; Mohammed, Duraid Y.

doi:10.1007/s11042-021-10767-6

Cited by 18 publications

(6 citation statements)

References 24 publications

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“…By amalgamating the internet and emerging technologies such as Journal of Disability Research 2024 radio-frequency identification (RFID) (Amaral et al, 2011;Al-Karawi and Mohammed, 2019), real-time localization, and embedded sensors, ordinary objects transform into smart entities capable of perceiving, interpreting, and responding to their environment. This technological advancement paves the way for novel communication between individuals, the objects they interact with, and these interconnected objects themselves (Tan and Wang, 2010;Al-Karawi and Mohammed, 2021). Figure 1 shows the IoT-baxsed assistive technologies for people with disability.…”

Section: Introductionmentioning

confidence: 99%

A Review on Internet of Things (IoT)-Related Disabilities and Their Implications

Semary,

Al-Karawi,

Abdelwahab

et al. 2024

Journal of Disability Research

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The transformative potential of the Internet of Things (IoT) extends to the lives of approximately one billion individuals worldwide living with disabilities, representing around 15% of the global population. This article highlights the importance of addressing challenges related to disability inclusivity and support, recognizing their significant impact on individuals and the global community. Despite inadequate support services, the IoT emerges as a beacon of hope, offering innovative solutions to empower people with disabilities. By integrating smart devices and technologies, the IoT can disrupt the cycle of dependence on families, thereby fostering economic activity and social inclusion. Introducing a proposed IoT framework elucidates its pivotal role in enhancing the quality of life for individuals with disabilities and facilitating their active engagement in societal and economic spheres. The article explores diverse application scenarios to underscore how the IoT can meet the unique needs of this demographic. Furthermore, it addresses critical challenges that must be acknowledged and overcome to implement IoT-based solutions in this context successfully. This study offers a comprehensive overview of IoT solutions tailored to mitigate the challenges encountered by individuals grappling with visual impairments.

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Section: Introductionmentioning

confidence: 99%

A Review on Internet of Things (IoT)-Related Disabilities and Their Implications

Semary,

Al-Karawi,

Abdelwahab

et al. 2024

Journal of Disability Research

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“…This daily usage disables current face recognition systems, whether personal (on computers or phones) or public (at hospitals or airports). Speaker recognition systems have been extensively studied [ 7 , 8 ] with several benchmark datasets [ 3 ]. Deep Learning (DL) speech biometrics has also been suggested [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…For several individuals, it is a cause of worry [ 24 ]. There is difficulty in describing such noises by utilizing standard audio characteristics and creating relevant ambient noise characteristics in autonomous acoustical classification systems [ 5 , 8 ]. A range of ambient sound sources generates various types of noise.…”

Section: Introductionmentioning

confidence: 99%

“…In uncontrolled situations, they are subject to changing and severe weather conditions, and microphone wind noise becomes a big worry. Environmental and system-introduced noise, such as channel interference, often contaminates signals of interest [ 4 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…The MFCCs are widely used because of their simplicity and strong performance in automated speaker identification tasks under clean-matched settings [ 6 , 13 , 25 ]. Human perception is insensitive to common-frequency localised random disturbances that impact MFCCs [ 8 , 36 ]. Noise and reverberation reduce MFCC performance quickly.…”

Section: Introductionmentioning

confidence: 99%

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Face mask effects on speaker verification performance in the presence of noise

Al-Karawi

2023

Multimed Tools Appl

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Due to its spread via physical contact and the regulations on wearing face masks, COVID-19 has resulted in tough challenges for speaker recognition. Masks may aid in preventing COVID-19 transmission, although the implications of the mask on system performance in a clean environment and with varying levels of background noise are unclear. The face mask has an impact on speech output. The task of comprehending speech while wearing a face mask is made more difficult by the mask's frequency response and radiation qualities, which is vary depending on the material and design of the mask. In this study, we recorded speech while wearing a face mask to see how different masks affected a state-of-the-art text-independent speaker verification system using an i-vector speaker identification system. This research investigates the influence of facial coverings on speaker verification. To address this, we investigated the effect of fabric masks on speaker identification in a cafeteria setting. These results present preliminary speaker recognition rates as well as mask verification trials. The result shows that masks had little to no effect in low background noise, with an EER of 2.4–2.5% in 20 dB SNR for both masks compared to no mask at the same level. In noisy conditions, accuracy was 12.7–13.0% lowers than without a mask with a 5 dB SNR, indicating that while different masks perform similarly in low background noise levels, they become more noticeable in high noise levels.

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Internet of Things (IoT) Adoption: Challenges and Barriers

Alenizi¹,

Al-Karawi²

2022

Lecture Notes in Networks and Systems

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Improving short utterance speaker verification by combining MFCC and Entrocy in Noisy conditions

Cited by 18 publications

References 24 publications

A Review on Internet of Things (IoT)-Related Disabilities and Their Implications

A Review on Internet of Things (IoT)-Related Disabilities and Their Implications

Face mask effects on speaker verification performance in the presence of noise

Internet of Things (IoT) Adoption: Challenges and Barriers

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