AIMC Topic: Speech Recognition Software
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Machine learning based sample extraction for automatic speech recognition using dialectal Assamese speech.
Neural networks : the official journal of the International Neural Network Society
Dec 30, 2015
Automatic Speaker Recognition (ASR) and related issues are continuously evolving as inseparable elements of Human Computer Interaction (HCI). With assimilation of emerging concepts like big data and Internet of Things (IoT) as extended elements of HC...
Deep Convolutional Neural Networks for large-scale speech tasks.
Neural networks : the official journal of the International Neural Network Society
Sep 16, 2014
Convolutional Neural Networks (CNNs) are an alternative type of neural network that can be used to reduce spectral variations and model spectral correlations which exist in signals. Since speech signals exhibit both of these properties, we hypothesiz...
Frame-by-frame language identification in short utterances using deep neural networks.
Neural networks : the official journal of the International Neural Network Society
Sep 3, 2014
This work addresses the use of deep neural networks (DNNs) in automatic language identification (LID) focused on short test utterances. Motivated by their recent success in acoustic modelling for speech recognition, we adapt DNNs to the problem of id...
Context-aware data augmentation for enhanced speech command recognition in industrial environments.
Scientific reports
May 20, 2025
In Human-Robot Interaction, speech is one of the most intuitive and effective communication channel. In Industry 4.0, speech-based communication can significantly enhance productivity and efficiency on production lines. However, deploying a Speech Co...
A Review of Challenges in Speech-Based Conversational AI for Elderly Care.
Studies in health technology and informatics
May 15, 2025
Artificially intelligent systems optimized for speech conversation are appearing at a fast pace. Such models are interesting from a healthcare perspective, as these voice-controlled assistants may support the elderly and enable remote health monitori...
AI-Enhanced Speech Recognition in Triage.
Studies in health technology and informatics
May 2, 2025
Triage is used in emergency departments to ensure timely patient care according to urgency of treatment. However, triage accuracy and efficiency remain challenging due to time-constraints and high demand. This proof-of-concept study evaluates an AI-p...
The NAO Robot in Healthcare and Education: A Scoping Review.
Studies in health technology and informatics
Apr 8, 2025
Humanoid robots, designed to resemble the human form, are increasingly becoming an integral technology used in healthcare and education. This paper focuses on the NAO robot, which is engineered with advanced capabilities such as speech recognition, f...
The Pepper Robot in Healthcare: A Scoping Review.
Studies in health technology and informatics
Apr 8, 2025
Humanoid robots are increasingly being used in a number of domains. This paper focuses on reviewing the use of the Pepper humanoid robot in healthcare. This robot has begun to be used in a range of settings and combines speech recognition with artifi...
Using voice recognition and machine learning techniques for detecting patient-reported outcomes from conversational voice in palliative care patients.
Japan journal of nursing science : JJNS
Jan 1, 2025
AIM: Patient-reported outcome measures (PROMs) are increasingly used in palliative care to evaluate patients' symptoms and conditions. Healthcare providers often collect PROMs through conversations. However, the manual entry of these data into electr...
Using articulatory feature detectors in progressive networks for multilingual low-resource phone recognitiona).
The Journal of the Acoustical Society of America
Nov 1, 2024
Systems inspired by progressive neural networks, transferring information from end-to-end articulatory feature detectors to similarly structured phone recognizers, are described. These networks, connecting the corresponding recurrent layers of pre-tr...
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