AIMC Topic: Speech

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Remote monitoring in heart failure: artificial intelligence and the use of remote speech analysis to detect worsening heart failure events.

Heart failure reviews
Globally, heart failure (HF) is a leading cause of hospitalization and mortality, primarily among the elderly, and is estimated to affect more than 64 million individuals. Hospitalization for HF represents the largest part of overall medical care exp...

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
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...

ABCD: A Simulation Method for Accelerating Conversational Agents With Applications in Aphasia Therapy.

Journal of speech, language, and hearing research : JSLHR
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 ...

Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyography.

Journal of neural engineering
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...

Speech signals-based Parkinson's disease diagnosis using hybrid autoencoder-LSTM models.

Computers in biology and medicine
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...

Ternary spike-based neuromorphic signal processing system.

Neural networks : the official journal of the International Neural Network Society
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 ...

[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
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...

Context-aware data augmentation for enhanced speech command recognition in industrial environments.

Scientific reports
In Human-Robot Interaction, speech is one of the most intuitive and effective communication channel. In Industry 4.0, speech-based communication can significantly enhance productivity and efficiency on production lines. However, deploying a Speech Co...

A Review of Challenges in Speech-Based Conversational AI for Elderly Care.

Studies in health technology and informatics
Artificially intelligent systems optimized for speech conversation are appearing at a fast pace. Such models are interesting from a healthcare perspective, as these voice-controlled assistants may support the elderly and enable remote health monitori...

Using Gesture and Speech to Control Surgical Lighting Systems: Mixed Methods Study.

JMIR human factors
BACKGROUND: Surgical lighting systems (SLSs) provide optimal lighting conditions for operating room personnel. Current systems are mainly adjusted by hand; surgeons either accommodate the light themselves or communicate their requirements to an assis...