AIMC Topic: Speech

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[A research on depression recognition based on voice pre-training model].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2024
For the increasing number of patients with depression, this paper proposes an artificial intelligence method to effectively identify depression through voice signals, with the aim of improving the efficiency of diagnosis and treatment. Firstly, a pre...
Humans Depression Recognition, Psychology Artificial Intelligence Speech
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Machine Learning Approaches for Dementia Detection Through Speech and Gait Analysis: A Systematic Literature Review.

Journal of Alzheimer's disease : JAD Jan 1, 2024
BACKGROUND: Dementia is a general term for several progressive neurodegenerative disorders including Alzheimer's disease. Timely and accurate detection is crucial for early intervention. Advancements in artificial intelligence present significant pot...
Dementia Gait Analysis Machine Learning Humans Speech
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On phase recovery and preserving early reflections for deep-learning speech dereverberation.

The Journal of the Acoustical Society of America Jan 1, 2024
In indoor environments, reverberation often distorts clean speech. Although deep learning-based speech dereverberation approaches have shown much better performance than traditional ones, the inferior speech quality of the dereverberated speech cause...
Speech Perception Deep Learning Speech Speech Intelligibility
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Emotional Climate Recognition in Conversations using Peers' Speech-based Bispectral Features and Affect Dynamics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Emotion recognition in conversations using artificial intelligence (AI) has recently gained a lot of attention, as it can provide additional emotion cues that can be correlated with human social behavior. An extension towards an AI-based emotional cl...
Aged Speech Artificial Intelligence Arousal Recognition, Psychology Child Emotions Humans
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Sixty Years of Frequency-Domain Monaural Speech Enhancement: From Traditional to Deep Learning Methods.

Trends in hearing Jan 1, 2023
Frequency-domain monaural speech enhancement has been extensively studied for over 60 years, and a great number of methods have been proposed and applied to many devices. In the last decade, monaural speech enhancement has made tremendous progress wi...
Speech Hearing Loss Speech Perception Humans Deep Learning
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On the change in Speech Quality and Speed with a Tongue Interface for Control of Rehabilitation Robotics - A Case report.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jul 1, 2022
Previous studies have described inductive tongue computer interfaces (ITCI) as a way to manipulate and control assistive robotics, and at least one commercial company is manufacturing ITCI today. This case report investigates the influence of an ITCI...
Female Speech User-Computer Interface Robotics Humans Quadriplegia Tongue
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Utilizing Deep Learning on Limited Mobile Speech Recordings for Detection of Obstructive Pulmonary Disease.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Passive assessment of obstructive pulmonary disease has gained substantial interest over the past few years in the mobile and wearable computing communities. One of the promising approaches is speech-based pulmonary assessment wherein spontaneous or ...
Mental Recall Asthma Deep Learning Speech Humans Hand
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Towards an Adaptive Clinical Transcription System for In-Situ Transcribing of Patient Encounter Information.

Studies in health technology and informatics Jun 6, 2022
Electronic patient charts are essential for follow-up and multi-disciplinary care, but either take up an exorbitant amount of time during the patient encounter using a key-stroke entry system, or suffer from poor recall when made long after the encou...
Data Collection Speech Workflow Humans Natural Language Processing Language
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Lightweight deep convolutional neural network for background sound classification in speech signals.

The Journal of the Acoustical Society of America Apr 1, 2022
Recognizing background information in human speech signals is a task that is extremely useful in a wide range of practical applications, and many articles on background sound classification have been published. It has not, however, been addressed wit...
Speech Sound Humans Neural Networks, Computer
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A model of speech recognition for hearing-impaired listeners based on deep learning.

The Journal of the Acoustical Society of America Mar 1, 2022
Automatic speech recognition (ASR) has made major progress based on deep machine learning, which motivated the use of deep neural networks (DNNs) as perception models and specifically to predict human speech recognition (HSR). This study investigates...
Hearing Deep Learning Speech Perception Speech Humans Presbycusis
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