AIMC Topic: Speech

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Low-dimensional recurrent neural network-based Kalman filter for speech enhancement.

Neural networks : the official journal of the International Neural Network Society Apr 7, 2015
This paper proposes a new recurrent neural network-based Kalman filter for speech enhancement, based on a noise-constrained least squares estimate. The parameters of speech signal modeled as autoregressive process are first estimated by using the pro...
Neural Networks, Computer Algorithms Humans Speech Communication Devices for People with Disabilities Least-Squares Analysis
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A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition.

IEEE transactions on neural networks and learning systems Jan 27, 2015
This paper presents a bioinspired digital liquid-state machine (LSM) for low-power very-large-scale-integration (VLSI)-based machine learning applications. To the best of the authors' knowledge, this is the first work that employs a bioinspired spike...
Pattern Recognition, Physiological Machine Learning Models, Neurological Speech Action Potentials Neurons Motivation Humans Neural Networks, Computer Auditory Pathways
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Deep Convolutional Neural Networks for large-scale speech tasks.

Neural networks : the official journal of the International Neural Network Society Sep 16, 2014
Convolutional Neural Networks (CNNs) are an alternative type of neural network that can be used to reduce spectral variations and model spectral correlations which exist in signals. Since speech signals exhibit both of these properties, we hypothesiz...
Neural Networks, Computer Speech Recognition Software Speech
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Frame-by-frame language identification in short utterances using deep neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 3, 2014
This work addresses the use of deep neural networks (DNNs) in automatic language identification (LID) focused on short test utterances. Motivated by their recent success in acoustic modelling for speech recognition, we adapt DNNs to the problem of id...
Speech Recognition Software Biometric Identification Language Speech Neural Networks, Computer
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Explicit estimation of magnitude and phase spectra in parallel for high-quality speech enhancement.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Phase information has a significant impact on speech perceptual quality and intelligibility. However, existing speech enhancement methods encounter limitations in explicit phase estimation due to the non-structural nature and wrapping characteristics...
Speech Intelligibility Speech Perception Humans Algorithms Speech Neural Networks, Computer
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ABCD: A Simulation Method for Accelerating Conversational Agents With Applications in Aphasia Therapy.

Journal of speech, language, and hearing research : JSLHR Jul 8, 2025
PURPOSE: Development of aphasia therapies is limited by clinician shortages, patient recruitment challenges, and funding constraints. To address these barriers, we introduce (ABCD), a novel method for simulating goal-driven natural spoken dialogues ...
Humans Artificial Intelligence Speech Aphasia Language Therapy Computer Simulation Communication
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Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyography.

Journal of neural engineering Jul 2, 2025
In this article, we present data and methods for decoding speech articulations using surface electromyogram (EMG) signals. EMG-based speech neuroprostheses offer a promising approach for restoring audible speech in individuals who have lost the abili...
Facial Muscles Male Middle Aged Young Adult Humans Electromyography Speech Adult Female Speech Production Measurement
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Speech signals-based Parkinson's disease diagnosis using hybrid autoencoder-LSTM models.

Computers in biology and medicine Jul 1, 2025
Parkinson's disease (PD) is a neurodegenerative disorder that occurs as a result of a decrease in the chemical called dopamine in the brain. There is no definitive treatment for PD, but some medications used to control symptoms in the early stages ha...
Autoencoder Parkinson Disease Signal Processing, Computer-Assisted Middle Aged Humans Speech Neural Networks, Computer Aged Male Female
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Ternary spike-based neuromorphic signal processing system.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Deep Neural Networks (DNNs) have been successfully implemented across various signal processing fields, resulting in significant enhancements in performance. However, DNNs generally require substantial computational resources, leading to significant ...
Neural Networks, Computer Algorithms Humans Electroencephalography Speech Signal Processing, Computer-Assisted Action Potentials Neurons
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[Study on speech imagery electroencephalography decoding of Chinese words based on the CAM-Net model].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2025
Speech imagery is an emerging brain-computer interface (BCI) paradigm with potential to provide effective communication for individuals with speech impairments. This study designed a Chinese speech imagery paradigm using three clinically relevant wor...
Neural Networks, Computer Algorithms Adult Humans Male Brain-Computer Interfaces Electroencephalography Speech Imagination
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