AIMC Topic: Speech

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Psychotherapie, Psychosomatik, medizinische Psychologie

An Interpretable Deep Learning Model for Speech Activity Detection Using Electrocorticographic Signals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Numerous state-of-the-art solutions for neural speech decoding and synthesis incorporate deep learning into the processing pipeline. These models are typically opaque and can require significant computational resources for training and execution. A d...

A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech.

Sensors (Basel, Switzerland)
Vocal emotion recognition (VER) in natural speech, often referred to as speech emotion recognition (SER), remains challenging for both humans and computers. Applied fields including clinical diagnosis and intervention, social interaction research or ...

Design of Political Online Teaching Based on Artificial Speech Recognition and Deep Learning.

Computational intelligence and neuroscience
With the emergence of the information age, computers have entered the homes of ordinary people and have become essential daily appliances for people. The integration of people and computers has become more popular and in-depth. Based on this situatio...

Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces.

Nature communications
A wearable silent speech interface (SSI) is a promising platform that enables verbal communication without vocalization. The most widely studied methodology for SSI focuses on surface electromyography (sEMG). However, sEMG suffers from low scalabilit...

Reversing the Ruin: Rehabilitation, Recovery, and Restoration After Stroke.

Current neurology and neuroscience reports
PURPOSE OF REVIEW: Stroke is a common cause of disability in aging adults. A given individual's needs after stroke vary as a function of the stroke extent and location. The purpose of this review was to discuss recent clinical investigations addressi...

Construction and Computation of the College English Teaching Path in the Artificial Intelligence Teaching Environment.

Computational intelligence and neuroscience
Today, English is the world's main international language and is widely spoken. In this context, the learning of English has long been valued by all countries. In addition, English plays an essential role in the process of economic globalization, spe...

BAT: Block and token self-attention for speech emotion recognition.

Neural networks : the official journal of the International Neural Network Society
Transformers have achieved great success in many artificial intelligence fields, such as computer vision (CV), audio processing and natural language processing (NLP). In speech emotion recognition (SER), transformer-based architectures usually comput...

Study of Intelligent Wireless Network Management in the Context of Artificial Intelligence for the Improvement of Chinese Language Mandarin Test Training Programmes.

Computational intelligence and neuroscience
One of the most prominent ways of communication between people is through language, which plays a significant role in expressing thoughts. Different ways of expressing a language can be through speech, writing, signing, or gesture. Each country has t...

How do people think about the implementation of speech and video recognition technology in emergency medical practice?

PloS one
BACKGROUND: Recently, speech and video information recognition technology (SVRT) has developed rapidly. Introducing SVRT into the emergency medical practice process may lead to improvements in health care. The purpose of this study was to evaluate th...