Design of smart volume controller for televisions

Cheng, Wen; Chang, Kai‐Chih; Hsiao, Chih-Lung

doi:10.1109/tce.2013.6626248

Cited by 3 publications

(3 citation statements)

References 3 publications

(2 reference statements)

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“…As shown in the lower part of Figure 1, the function unit of feature extraction is in front of the recognition. Moreover, gain controls are widely integrated to realize functions, such as adjusting the signal strength [7,17,27], improving the perceptual intelligibility [8,9], optimizing the ASR performance directly [28], or by speech enhancement [18,19,39,40].…”

Section: Related Workmentioning

confidence: 99%

“…Automatic speech recognition (ASR) has been widely integrated into human-robot interactions in the form of voice user interfaces (VUIs) [1][2][3]. Virtual assistants [4], vehicle systems [5], and home automation all make daily life more convenient [6][7][8][9], and the application scope of ASR is growing in popularity as more people have recognized VUIs as more natural than graphical user interfaces (GUIs) [10,11].…”

Section: Introductionmentioning

confidence: 99%

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Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy

Wang

Wei

Zhang

et al. 2022

Sensors

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Automatic speech recognition (ASR) is an essential technique of human–computer interactions; gain control is a commonly used operation in ASR. However, inappropriate gain control strategies can lead to an increase in the word error rate (WER) of ASR. As there is a current lack of sufficient theoretical analyses and proof of the relationship between gain control and WER, various unconstrained gain control strategies have been adopted on realistic ASR systems, and the optimal gain control with respect to the lowest WER, is rarely achieved. A gain control strategy named maximized original signal transmission (MOST) is proposed in this study to minimize the adverse impact of gain control on ASR systems. First, by modeling the gain control strategy, the quantitative relationship between the gain control strategy and the ASR performance was established using the noise figure index. Second, through an analysis of the quantitative relationship, an optimal MOST gain control strategy with minimal performance degradation was theoretically deduced. Finally, comprehensive comparative experiments on a Mandarin dataset show that the proposed MOST gain control strategy can significantly reduce the WER of the experimental ASR system, with a 10% mean absolute WER reduction at −9 dB gain.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy

Wang

Wei

Zhang

et al. 2022

Sensors

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“…The proposed fuzzy volume controller (FVC) [6][7][8] was developed using the fuzzy logic toolbox available in MATLAB 2018a. The above three models of FVC model give volume level change (VLC) based on inputs viz., noise level, noise class, and volume level of original speech samples.…”

Section: (D) Fuzzy Volume Controller (Fvc)mentioning

confidence: 99%

Smart Volume Controller for Mobile Phones

Singh¹,

Chaudhary²,

Verma³

et al. 2019

IJEAT

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 Abstract: In this paper, smart volume controller (SVC) using fuzzy logic is developed for mobile phones in order to improve the voice quality in the presence of background noise. The SVC uses the noise level and class information as an input to automatically raise the volume of the cell phone in the presence of background noise. Smart volume controller mainly consists of two stages: (i) Noise Classification, (ii) Fuzzy Volume Controller. Noise classification includes feature extraction and feature matching using artificial neural network classifier to differentiate between different types of noise classes. The maximum noise attenuation level of up to 55db was achieved while experimenting with the four different types of noises such as car noise, market noise, office noise, and train noise using the proposed volume controller that seems to be quite satisfactory.

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Optimized Volume Control Architecture for Cascaded Audio System

Wang,

Wei,

et al. 2022

IEEE Trans. Consumer Electron.

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Design of smart volume controller for televisions

Cited by 3 publications

References 3 publications

Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy

Automatic Speech Recognition Performance Improvement for Mandarin Based on Optimizing Gain Control Strategy

Smart Volume Controller for Mobile Phones

Optimized Volume Control Architecture for Cascaded Audio System

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