Results 141 to 150 of about 3,448,535 (370)
Magnetic Skin for Voice Disorders with Real‐Time Lip Translation
Soüti, a novel wearable technology combining flexible, biocompatible magnetic skin patches with a convolutional neural network to translate lip movements into speech with 92.54% accuracy. This innovative approach enhances therapeutic options for speech impairments and democratizes access to advanced healthcare technologies, particularly benefiting ...
Montserrat Ramirez‐De Angel+6 more
wiley +1 more source
Speech Signal Analysis for the Estimation of Heart Rates Under Different Emotional States [PDF]
A non-invasive method for the monitoring of heart activity can help to reduce the deaths caused by heart disorders such as stroke, arrhythmia and heart attack. The human voice can be considered as a biometric data that can be used for estimation of heart rate.
arxiv
Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis [PDF]
Neural Text-to-speech (TTS) synthesis is a powerful technology that can generate speech using neural networks. One of the most remarkable features of TTS synthesis is its capability to produce speech in the voice of different speakers. This paper introduces voice cloning and speech synthesis https://pypi.org/project/voice-cloning/ an open-source python
arxiv
Voice Mail as a Transitional Object in the Treatment of Borderline Personality Disorder [PDF]
Susan Finch
openalex +1 more source
Voice Cloning for Dysarthric Speech Synthesis: Addressing Data Scarcity in Speech-Language Pathology [PDF]
This study explores voice cloning to generate synthetic speech replicating the unique patterns of individuals with dysarthria. Using the TORGO dataset, we address data scarcity and privacy challenges in speech-language pathology. Our contributions include demonstrating that voice cloning preserves dysarthric speech characteristics, analyzing ...
arxiv
Occupational groups at risk of voice disorders: a review of the literature [PDF]
Nerys Williams
openalex +1 more source
Vulnerabilities in Machine Learning-Based Voice Disorder Detection Systems [PDF]
The impact of voice disorders is becoming more widely acknowledged as a public health issue. Several machine learning-based classifiers with the potential to identify disorders have been used in recent studies to differentiate between normal and pathological voices and sounds. In this paper, we focus on analyzing the vulnerabilities of these systems by
arxiv
WD patients with dystonia were more susceptible to suffer from low BMI and highߚlevel neurological dysfunctions. It was the first time to apply the PSE of EEG to detect the cortical synaptic activity in WD patients. The cortical activities of the WD patients with dystonia seemed to be more chaotic during the eyes‐closed and reading tasks but lower ...
Shaoru Zhang+9 more
wiley +1 more source
Metacognition vulnerabilities in time of crisis: Who to protect from suicidal risk?
Abstract Introduction During stressful events, we are all trying to cope. We may not be equal depending on our emotional, psychological, and mental states. During the COVID‐19 pandemic, we could try to avoid negative information processing and anxiogenics content to prevent unhealthy thinking processes. One of the processes we can observe regarding our
Sylvia Martin+2 more
wiley +1 more source