Correlation Between Speaker Gender and Perceptual Quality of Mobile Speech Signal

Al-Othmani, Abdulaleem Z.; Manaf, Azizah Abdul; Zeki, Akram M.; Al-Maatouk, Qusay; Aborujilah, Abdulaziz; Alrashdan, Maen T.

doi:10.1109/imcom48794.2020.9001793

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…Another work is Sobieraj et al [28], that presents an experiment of 148 participants to examine the interaction between technological complexity and user' gender. Also, there are works that study the influence of stakeholders' gender, such as the work of Othmani et al [29]. This work applied the Perceptual Evaluation of Speech Quality (PESQ) [30] in an experiment carried out to encode 350 speech files.…”

Section: Related Workmentioning

confidence: 99%

Are requirements elicitation sessions influenced by participants' gender? An empirical experiment

Díaz

Panach

Rueda

et al. 2021

Science of Computer Programming

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Section: Related Workmentioning

confidence: 99%

Are requirements elicitation sessions influenced by participants' gender? An empirical experiment

Díaz

Panach

Rueda

et al. 2021

Science of Computer Programming

View full text Add to dashboard Cite

Improved Non-Negative Matrix Factorization-Based Noise Reduction of Leakage Acoustic Signals

Yu,

Hu,

Wang

et al. 2024

Sensors

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The detection of gas leaks using acoustic signals is often compromised by environmental noise, which significantly impacts the accuracy of subsequent leak identification. Current noise reduction algorithms based on non-negative matrix factorization (NMF) typically utilize the Euclidean distance as their objective function, which can exacerbate noise anomalies. Moreover, these algorithms predominantly rely on simple techniques like Wiener filtering to estimate the amplitude spectrum of pure signals. This approach, however, falls short in accurately estimating the amplitude spectrum of non-stationary signals. Consequently, this paper proposes an improved non-negative matrix factorization (INMF) noise reduction algorithm that enhances the traditional NMF by refining both the objective function and the amplitude spectrum estimation process for reconstructed signals. The improved algorithm replaces the conventional Euclidean distance with the Kullback–Leibler (KL) divergence and incorporates noise and sparse constraint terms into the objective function to mitigate the adverse effects of signal amplification. Unlike traditional methods such as Wiener filtering, the proposed algorithm employs an adaptive Minimum Mean-Square Error-Log Spectral Amplitude (MMSE-LSA) method to estimate the amplitude spectrum of non-stationary signals adaptively across varying signal-to-noise ratios. Comparative experiments demonstrate that the INMF algorithm significantly outperforms existing methods in denoising leakage acoustic signals.

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Correlation Between Speaker Gender and Perceptual Quality of Mobile Speech Signal

Cited by 2 publications

References 30 publications

Are requirements elicitation sessions influenced by participants' gender? An empirical experiment

Are requirements elicitation sessions influenced by participants' gender? An empirical experiment

Improved Non-Negative Matrix Factorization-Based Noise Reduction of Leakage Acoustic Signals

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