AIMC Topic: Speech Recognition Software

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Deep joint learning for language recognition.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2021
Deep learning methods for language recognition have achieved promising performance. However, most of the studies focus on frameworks for single types of acoustic features and single tasks. In this paper, we propose the deep joint learning strategies ...
Deep Learning Acoustics Speech Recognition Software Humans Language
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CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks.

Neural networks : the official journal of the International Neural Network Society Mar 19, 2021
How can deep neural networks encode information that corresponds to words in human speech into raw acoustic data? This paper proposes two neural network architectures for modeling unsupervised lexical learning from raw acoustic inputs: ciwGAN (Catego...
Natural Language Processing Acoustics Machine Learning Speech Recognition Software
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D-MONA: A dilated mixed-order non-local attention network for speaker and language recognition.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2021
Attention-based convolutional neural network (CNN) models are increasingly being adopted for speaker and language recognition (SR/LR) tasks. These include time, frequency, spatial and channel attention, which can focus on useful time frames, frequenc...
Neural Networks, Computer Natural Language Processing Speech Recognition Software
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Speaker recognition based on deep learning: An overview.

Neural networks : the official journal of the International Neural Network Society Mar 17, 2021
Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has dramatically revolutionized speaker recognition. However, there is lack of comprehensive reviews on the exciting progress. In this paper, we review se...
Noise Speech Recognition Software Deep Learning
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Cycle consistent network for end-to-end style transfer TTS training.

Neural networks : the official journal of the International Neural Network Society Mar 16, 2021
In this paper, we propose a cycle consistent network based end-to-end TTS for speaking style transfer, including intra-speaker, inter-speaker, and unseen speaker style transfer for both parallel and unparallel transfers. The proposed approach is buil...
Writing Speech Recognition Software Machine Learning
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Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2021
Recently, we have witnessed Deep Learning methodologies gaining significant attention for severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its severity, are of paramount importance in various real-life application...
Speech Recognition Software Normal Distribution Time Factors Dysarthria Humans Neural Networks, Computer Severity of Illness Index Speech
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Speech Technology for Healthcare: Opportunities, Challenges, and State of the Art.

IEEE reviews in biomedical engineering Jan 22, 2021
Speech technology is not appropriately explored even though modern advances in speech technology-especially those driven by deep learning (DL) technology-offer unprecedented opportunities for transforming the healthcare industry. In this paper, we ha...
Speech Recognition Software Communication Devices for People with Disabilities Signal Processing, Computer-Assisted Humans Deep Learning
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μ-law SGAN for generating spectra with more details in speech enhancement.

Neural networks : the official journal of the International Neural Network Society Dec 25, 2020
The goal of monaural speech enhancement is to separate clean speech from noisy speech. Recently, many studies have employed generative adversarial networks (GAN) to deal with monaural speech enhancement tasks. When using generative adversarial networ...
Humans Neural Networks, Computer Data Compression Speech Perception Speech Speech Recognition Software Deep Learning
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Digital health technologies: opportunities and challenges in rheumatology.

Nature reviews. Rheumatology Jul 24, 2020
The past decade in rheumatology has seen tremendous innovation in digital health technologies, including the electronic health record, virtual visits, mobile health, wearable technology, digital therapeutics, artificial intelligence and machine learn...
Patient Participation Rheumatology Rheumatic Diseases Focus Groups Biomedical Technology Artificial Intelligence Machine Learning Humans Practice Guidelines as Topic Speech Recognition Software Telemedicine Patient Reported Outcome Measures
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Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports.

PloS one Jun 19, 2020
Accurate, automated extraction of clinical stroke information from unstructured text has several important applications. ICD-9/10 codes can misclassify ischemic stroke events and do not distinguish acuity or location. Expeditious, accurate data extra...
Stroke Patient Acuity Brain Ischemia Speech Recognition Software Machine Learning Image Processing, Computer-Assisted Humans
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