Voice Communication in Noisy Environments in a Smart House Using Hybrid LMS+ICA Algorithm

Martínek, Radek; Vaňuš, Jan; Nedoma, Jan; Fridrich, Michael; Frnda, Jaroslav; Kawala-Sterniuk, Aleksandra

doi:10.3390/s20216022

Cited by 15 publications

(9 citation statements)

References 56 publications

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“…But enhancing the image or signal to a possible extent by using different signal processing methods can be done and the method must be chosen according to the application needed. Gammatone frequency cepstral coefficients (GFCC) [45] Adaptive LMS filter and ICA method, KNX technology, and LabView software tool [46] Spectral enhancement and temporal enhancement of speech signal [47] eigenspace normalization method [48] 2 Mobile audio signal Minimum-variance distortion-less response (MVDR) filter [25] 3 Image Gaussian mixture model, histogram of orientations of snow and rain [35] Modified fuzzy set filter [51] Decision-based adaptive median filter [49] Collaborative Weiner filtering [50] Improved median filter [ The median filter is best suited to reduce the noise [43]…”

Section: Discussionmentioning

confidence: 99%

Enhancing Signal in Noisy Environment: A Review

Devi¹,

Mittal

2021

Smart Innovation, Systems and Technologies

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Noise is present in all environments. In the signal processing domain also, there is a presence of noise. In any application, after processing, we need a signal which is free from noise. So to obtain a high-quality signal, elimination and reduction of noise are important. The different noises include Salt-Pepper, Gaussian, Speckle, Poisson, etc. So in order to eliminate this noise, some of the noise reduction techniques or filters can be employed in between. This survey paper presents the elimination of noise in images during duct, rain, snow, etc., elimination of noise in speech signals or mobile audio in high noisy environment such as conferences, meetings, heavy traffic conditions, and elimination of noise in biomedical signals in the presence of other noisy signals. For this purpose, many filtering techniques can be used, and depending on the filtered image obtained, we can find out which is best suited for the specific purpose.

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Section: Discussionmentioning

confidence: 99%

Enhancing Signal in Noisy Environment: A Review

Devi¹,

Mittal

2021

Smart Innovation, Systems and Technologies

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“…Existing IoT-based solutions include voice assistants, battery-operated remote controls, motion-based switches and mobile phone applications [1,2]. These IoT switches can complement but cannot entirely replace conventional switches, as they function reliably only in specific circumstances.…”

Section: Introductionmentioning

confidence: 99%

A chipless light switch for smart‐homes

Almansouri

2023

IET Circuits, Devices & Syst

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The limited and inconvenient functionality of conventional light switches is out of pace with current advancements in wireless sensors. A chipless RFID light switch (CLS) that is passive, battery‐free and relocatable and maintains the convenience of having physical buttons for controlling lightbulbs or other electrical devices is introduced. These characteristics have been achieved by attaching single‐pole‐single‐through toggle switches to the edges of radio frequency spiral resonators. The status of the switches activates or deactivates the resonators, allowing the CLS tag to passively communicate the status of the switches. A CLS tag with two ID resonators (used for tag identifications), and two measurement resonators [MRs] (connected with switches and used to communicate the status of the switches) was designed and fabricated using a 1‐mm‐thick FR4 substrate. Measurement results showed resonant frequencies at 1115 and 1220 MHz corresponding to the ID resonators and frequencies at 848 and 971 MHz corresponding to the MRs. Turning the switches OFF and ON successfully activated and deactivated the MRs.

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“…Radek et al, [1,2] have incorporated the multi-channel methods using least mean square algorithm (LMS) and independent component analysis (ICA) to provide the mathematical calculations to avoid additive noise in speech signal. For smart home implementation, the LabVIEW SW tool is used for visualization, speech recognition, virtual cable connection to the sound card, and the actual mathematical calculations within additive noise canceling.…”

Section: Introductionmentioning

confidence: 99%

Certain Applications of LabVIEW in the Field of Electronics and Communication

Ramasamy¹,

Palanivelu²,

Sathesan³

2021

LabVIEW - A Flexible Environment for Modeling and Daily Laboratory Use

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The LabVIEW platform with graphical programming environment, will help to integrate the human machine interface controller with the software like MATLAB, Python etc. This platform plays the vital role in many pioneering areas like speech signal processing, bio medical signals like Electrocardiogram (ECG) and Electroencephalogram (EEG) processing, fault analysis in analog electronic circuits, Cognitive Radio(CR), Software Defined Radio (SDR), flexible and wearable electronics. Nowadays most engineering colleges redesign their laboratory curricula for the students to enhance the potential inclusion of remote based laboratory to facilitate and encourage the students to access the laboratory anywhere and anytime. This would help every young learner to bolster their innovation, if the laboratory environment is within the reach of their hand. LabVIEW is widely recognized for its flexibility and adaptability. Due to the versatile nature of LabVIEW in the Input- Output systems, it has find its broad applications in integrated systems. It can provide a smart assistance to deaf and dumb people for interpreting the sign language by gesture recognition using flex sensors, monitor the health condition of elderly people by predicting the abnormalities in the heart beat through remote access, and identify the stage of breast cancer from the Computed tomography (CT) and Magnetic resonance imaging (MRI) scans using image processing techniques. In this chapter, the previous work of authors who have extensively incorporated LabVIEW in the field of electronics and communication are discussed in detail.

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Voice Communication in Noisy Environments in a Smart House Using Hybrid LMS+ICA Algorithm

Cited by 15 publications

References 56 publications

Enhancing Signal in Noisy Environment: A Review

Enhancing Signal in Noisy Environment: A Review

A chipless light switch for smart‐homes

Certain Applications of LabVIEW in the Field of Electronics and Communication

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