AIMC Topic: Speech Recognition Software

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

Computational intelligence and neuroscience Oct 6, 2022
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...
Humans Speech Perception Deep Learning Universities Speech Speech Recognition Software
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Deep learning applications in telerehabilitation speech therapy scenarios.

Computers in biology and medicine Jul 12, 2022
Nowadays, many application scenarios benefit from automatic speech recognition (ASR) technology. Within the field of speech therapy, in some cases ASR is exploited in the treatment of dysarthria with the aim of supporting articulation output. However...
Humans Deep Learning Dysarthria Speech Disorders Speech Therapy Telerehabilitation Speech Recognition Software
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End-to-End Lip-Reading Open Cloud-Based Speech Architecture.

Sensors (Basel, Switzerland) Apr 12, 2022
Deep learning technology has encouraged research on noise-robust automatic speech recognition (ASR). The combination of cloud computing technologies and artificial intelligence has significantly improved the performance of open cloud-based speech rec...
Speech Recognition Software Cloud Computing Neural Networks, Computer Artificial Intelligence Speech
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Concurrent Associative Memories With Synaptic Delays.

IEEE transactions on neural networks and learning systems Aug 3, 2021
This article presents concurrent associative memories with synaptic delays useful for processing sequences of real vectors. Associative memories with synaptic delays were introduced by the authors for symbolic sequential inputs and demonstrated sever...
Deep Learning Models, Neurological Algorithms Databases, Factual Memory Association Learning Synapses Speech Recognition Software Humans Neural Networks, Computer
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An adaptive threshold neuron for recurrent spiking neural networks with nanodevice hardware implementation.

Nature communications Jul 9, 2021
We propose a Double EXponential Adaptive Threshold (DEXAT) neuron model that improves the performance of neuromorphic Recurrent Spiking Neural Networks (RSNNs) by providing faster convergence, higher accuracy and a flexible long short-term memory. We...
Datasets as Topic Speech Recognition Software Neurons Nanostructures Computers Models, Neurological Humans Neural Networks, Computer
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Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology.

Journal of medical Internet research May 25, 2021
Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in health care-leveraging innovativ...
COVID-19 Speech Recognition Software Artificial Intelligence Delivery of Health Care Humans Triage Pandemics Critical Care Communication Voice Chronic Disease Cell Phone Telemedicine Referral and Consultation
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Streaming cascade-based speech translation leveraged by a direct segmentation model.

Neural networks : the official journal of the International Neural Network Society May 17, 2021
The cascade approach to Speech Translation (ST) is based on a pipeline that concatenates an Automatic Speech Recognition (ASR) system followed by a Machine Translation (MT) system. Nowadays, state-of-the-art ST systems are populated with deep neural ...
Speech Recognition Software Neural Networks, Computer Language Speech
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Speech Vision: An End-to-End Deep Learning-Based Dysarthric Automatic Speech Recognition System.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 7, 2021
Dysarthria is a disorder that affects an individual's speech intelligibility due to the paralysis of muscles and organs involved in the articulation process. As the condition is often associated with physically debilitating disabilities, not only do ...
Dysarthria Humans Speech Recognition Software Speech Production Measurement Deep Learning Speech Intelligibility
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Deep neural network-based generalized sidelobe canceller for dual-channel far-field speech recognition.

Neural networks : the official journal of the International Neural Network Society Apr 19, 2021
The traditional generalized sidelobe canceller (GSC) is a common speech enhancement front end to improve the noise robustness of automatic speech recognition (ASR) systems in the far-field cases. However, the traditional GSC is optimized based on the...
Speech Recognition Software Speech Noise Humans Deep Learning
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End-to-end keyword search system based on attention mechanism and energy scorer for low resource languages.

Neural networks : the official journal of the International Neural Network Society Apr 10, 2021
Keyword search (KWS) means searching for keywords given by the user from continuous speech. Conventional KWS systems are based on Automatic Speech Recognition (ASR), where the input speech has to be first processed by the ASR system before keyword se...
Machine Learning Natural Language Processing Speech Recognition Software
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