AIMC Topic: Speech

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Deep neural architectures for dialect classification with single frequency filtering and zero-time windowing feature representations.

The Journal of the Acoustical Society of America Feb 1, 2022
The goal of this study is to investigate advanced signal processing approaches [single frequency filtering (SFF) and zero-time windowing (ZTW)] with modern deep neural networks (DNNs) [convolution neural networks (CNNs), temporal convolution neural n...
Speech Signal Processing, Computer-Assisted Fourier Analysis Neural Networks, Computer Language
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Overlapped speech detection using phase features.

The Journal of the Acoustical Society of America Oct 1, 2021
Simultaneous speech of multiple speakers is known as overlapped speech, which causes problems for speech recognition and speaker diarization systems. The present work uses previously less utilized signal phase information in the task of overlapped sp...
Neural Networks, Computer Male Female Speech Humans
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Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria.

The New England journal of medicine Jul 15, 2021
BACKGROUND: Technology to restore the ability to communicate in paralyzed persons who cannot speak has the potential to improve autonomy and quality of life. An approach that decodes words and sentences directly from the cerebral cortical activity of...
Humans Deep Learning Speech Natural Language Processing Adult Male Quadriplegia Brain Stem Infarctions Sensorimotor Cortex Dysarthria Neural Prostheses Electrodes, Implanted Brain-Computer Interfaces Electrocorticography
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Deep Neural Network Driven Speech Classification for Relevance Detection in Automatic Medical Documentation.

Studies in health technology and informatics May 27, 2021
The automation of medical documentation is a highly desirable process, especially as it could avert significant temporal and monetary expenses in healthcare. With the help of complex modelling and high computational capability, Automatic Speech Recog...
Automation Speech Documentation Humans Neural Networks, Computer
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On training targets for deep learning approaches to clean speech magnitude spectrum estimation.

The Journal of the Acoustical Society of America May 1, 2021
Estimation of the clean speech short-time magnitude spectrum (MS) is key for speech enhancement and separation. Moreover, an automatic speech recognition (ASR) system that employs a front-end relies on clean speech MS estimation to remain robust. Tra...
Speech Intelligibility Speech Perception Noise Signal-To-Noise Ratio Deep Learning Speech
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Deep learning approaches for neural decoding across architectures and recording modalities.

Briefings in bioinformatics Mar 22, 2021
Decoding behavior, perception or cognitive state directly from neural signals is critical for brain-computer interface research and an important tool for systems neuroscience. In the last decade, deep learning has become the state-of-the-art method i...
Humans Neural Networks, Computer Action Potentials Electroencephalography Image Processing, Computer-Assisted Deep Learning Vision, Ocular Calcium Electrocorticography Magnetic Resonance Imaging Speech
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Speech emotion recognition based on transfer learning from the FaceNet framework.

The Journal of the Acoustical Society of America Feb 1, 2021
Speech plays an important role in human-computer emotional interaction. FaceNet used in face recognition achieves great success due to its excellent feature extraction. In this study, we adopt the FaceNet model and improve it for speech emotion recog...
Machine Learning Humans Neural Networks, Computer Speech Emotions
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Phonetic variability constrained bottleneck features for joint speaker recognition and physical task stress detection.

The Journal of the Acoustical Society of America Nov 1, 2020
Normalizing intrinsic variabilities (e.g., variability in speech production brought on by aging, physical or cognitive task stress, Lombard effect, etc.) in speech and speaker recognition models is essential for system robustness. This study focuses ...
Speech Recognition Software Neural Networks, Computer Speech Phonetics Discriminant Analysis
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A systematic literature review of automatic Alzheimer's disease detection from speech and language.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: In recent years numerous studies have achieved promising results in Alzheimer's Disease (AD) detection using automatic language processing. We systematically review these articles to understand the effectiveness of this approach, identify ...
Humans Language Tests Artificial Intelligence Language Disorders Decision Trees Machine Learning Natural Language Processing Speech Alzheimer Disease
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Verbal analogy problem sets: An inventory of testing materials.

Behavior research methods Oct 1, 2020
Analogical reasoning is an active topic of investigation across education, artificial intelligence (AI), cognitive psychology, and related fields. In all fields of inquiry, explicit analogy problems provide useful tools for investigating the mechanis...
Problem Solving Language Humans Speech Artificial Intelligence
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