AIMC Topic: Speech

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A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese abbreviations and doctors' per...
Attention Information Storage and Retrieval China Natural Language Processing Humans Deep Learning Electronic Health Records Language Speech
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A fine-grained Chinese word segmentation and part-of-speech tagging corpus for clinical text.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Chinese word segmentation (CWS) and part-of-speech (POS) tagging are two fundamental tasks of Chinese text processing. They are usually preliminary steps for lots of Chinese natural language processing (NLP) tasks. There have been a large...
Humans China Natural Language Processing Information Storage and Retrieval Electronic Health Records Speech
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Speech synthesis from ECoG using densely connected 3D convolutional neural networks.

Journal of neural engineering Mar 4, 2019
OBJECTIVE: Direct synthesis of speech from neural signals could provide a fast and natural way of communication to people with neurological diseases. Invasively-measured brain activity (electrocorticography; ECoG) supplies the necessary temporal and ...
Humans Neural Networks, Computer Photic Stimulation Electrocorticography Speech Communication Devices for People with Disabilities Cerebral Cortex
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Machine learning for MEG during speech tasks.

Scientific reports Feb 7, 2019
We consider whether a deep neural network trained with raw MEG data can be used to predict the age of children performing a verb-generation task, a monosyllable speech-elicitation task, and a multi-syllabic speech-elicitation task. Furthermore, we ar...
Speech Adolescent Child, Preschool Female Male Magnetoencephalography Child Signal Processing, Computer-Assisted Humans Machine Learning
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Improved model adaptation approach for recognition of reduced-frame-rate continuous speech.

PloS one Nov 7, 2018
In distributed speech recognition applications, the front-end device that stands for any handheld electronic device like smartphones and personal digital assistants (PDAs) captures the speech signal, extracts the speech features, and then sends the s...
Pattern Recognition, Automated Speech Recognition Software Humans Smartphone Neural Networks, Computer Markov Chains Algorithms Speech User-Computer Interface
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A Two-Step Neural Dialog State Tracker for Task-Oriented Dialog Processing.

Computational intelligence and neuroscience Oct 18, 2018
Dialog state tracking in a spoken dialog system is the task that tracks the flow of a dialog and identifies accurately what a user wants from the utterance. Since the success of a dialog is influenced by the ability of the system to catch the require...
Communication Humans Speech Neural Networks, Computer
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Classification of Overt and Covert Speech for Near-Infrared Spectroscopy-Based Brain Computer Interface.

Sensors (Basel, Switzerland) Sep 7, 2018
People suffering from neuromuscular disorders such as locked-in syndrome (LIS) are left in a paralyzed state with preserved awareness and cognition. In this study, it was hypothesized that changes in local hemodynamic activity, due to the activation ...
Healthy Volunteers Brain-Computer Interfaces Broca Area Support Vector Machine Hemoglobins Spectroscopy, Near-Infrared Speech Humans
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Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.

IEEE journal of biomedical and health informatics Aug 23, 2018
Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor symptoms. Particularly, difficulties to start/stop movements have been observed in patients. From a technical/diagnostic point of view, these movement changes can...
Deep Learning Humans Speech Databases, Factual Image Processing, Computer-Assisted Parkinson Disease ROC Curve Female Aged Aged, 80 and over Gait Analysis Male Handwriting Signal Processing, Computer-Assisted Middle Aged Gait
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Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning.

Methods (San Diego, Calif.) Aug 10, 2018
Due to the complex and intricate nature associated with their production, the acoustic-prosodic properties of a speech signal are modulated with a range of health related effects. There is an active and growing area of machine learning research in th...
Neural Networks, Computer Deep Learning Acoustics Speech Humans
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Design of deep echo state networks.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2018
In this paper, we provide a novel approach to the architectural design of deep Recurrent Neural Networks using signal frequency analysis. In particular, focusing on the Reservoir Computing framework and inspired by the principles related to the inher...
Humans Pattern Recognition, Physiological Neural Networks, Computer Speech
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