Results 41 to 50 of about 167,964,167 (121)
Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments.
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 In this paper, we considered the problem of the speech enhancement similar to the real-world environments where several complex noise sources simultaneously degrade the quality and intelligibility of a target speech.
Nasir Saleem, Muhammad Irfan Khattak
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Electronics Letters, Volume 62, Issue 1, January/December 2026.Acoustic echo cancellation (AEC) in actual communication systems is challenging due to highly correlated inputs, impulsive disturbances, and computational limitations. The traditional Affine Projection Algorithm (APA) is better than the Normalised Least Mean Square method, although it involves matrix inversion complexity and is susceptible to outliers (
Gagandeep Singh +5 more
wiley +1 more source
DeepSC‐S‐MECA: A Hybrid Mamba‐ECA Framework for Robust Semantic Speech Communication
Electronics Letters, Volume 62, Issue 1, January/December 2026.This paper proposes DeepSC‐S‐MECA, a semantic communication model that integrates a Mamba Transformer and ECA‐ResNet to effectively capture temporal–contextual dependencies and emphasize informative speech features while maintaining low computational complexity.
Yerin Yeo, Junghyun Kim
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A Novel Switched Algorithm for Adaptive Feedback Control in Hearing Aids
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.Acoustic feedback remains a significant challenge in open‐fitting digital hearing aids, as it severely degrades signal quality and restricts the maximum achievable stable gain. Adaptive feedback control (AFC) is widely adopted to mitigate this issue; however, its performance is often compromised by bias in the feedback path estimation, particularly due
Linh T. T. Tran, Felix Albu, Andrea Tani
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Applications of Artificial Intelligence in Neurological Voice Disorders
World Journal of Otorhinolaryngology - Head and Neck Surgery, Volume 11, Issue 4, Page 491-517, December 2025.ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao +2 more
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A methodology for improving PESQ accuracy for Chinese speech
, 2005 Unlike English and most other European languages, Mandarin Chinese has two unique characteristics, the consonant-vowel-consonant (CVC) phonetic structure and use of tones, which may affect its intelligibility after processing by sound processing systems.
Chong, Fong Loong +5 more
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Phonological markers of sentence stress in ataxic dysarthria and their relationship to perceptual cues [PDF]
, 2014 A wide range of literature is available on the features of ataxic dysarthria, investigating segmental and prosodic characteristics by acoustic and perceptual means.
Lowit, Anja +2 more
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Dual-Mic Speech Enhancement Based on TF-GSC with Leakage Suppression and Signal Recovery
Applied Sciences, 2021 The transfer function-generalized sidelobe canceller (TF-GSC) is one of the most popular structures for the adaptive beamformer used in multi-channel speech enhancement. Although the TF-GSC has shown decent performance, a certain amount of steering error
Hansol Kim, Jong Won Shin
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Assessing Omnichannel Service Quality in the Public Sector
Public Administration, Volume 103, Issue 2, Page 581-599, June 2025.ABSTRACT Services in the public sector are often provided as a hybrid combination of both digital (e.g., online registration) and physical (e.g., offline appointment) service channels, which can be referred to as omnichannel services. There is a lack of instruments in the literature that can measure the perceived quality of public sector omnichannel ...
Fabian Walke, Till J. Winkler
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Alternative Speech Communication System for Persons with Severe Speech Disorders
EURASIP Journal on Advances in Signal Processing, 2009 Assistive speech-enabled systems are proposed to help both French and English speaking persons with various speech disorders. The proposed assistive systems use automatic speech recognition (ASR) and speech synthesis in order to enhance the quality of ...
Sid-Ahmed Selouani +2 more
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