AIMC Topic: Speech Recognition Software

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The Pepper Robot in Healthcare: A Scoping Review.

Studies in health technology and informatics
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
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
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...

A Greek Conversational Agent for Hematologic Malignancies: Usability and User Experience Assessment.

Studies in health technology and informatics
Enabling patients to actively document their health information significantly improves understanding of how therapies work, disease progression, and overall life quality affects for those living with chronic disorders such as hematologic malignancies...

Benchmarking Automatic Speech Recognition Technology for Natural Language Samples of Children With and Without Developmental Delays.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Natural language sampling (NLS) offers rich insights into real-world speech and language usage across diverse groups; yet, human transcription is time-consuming and costly. Automatic speech recognition (ASR) technology has the potential to revolution...

Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising awareness is key to reducing such bias, but its manifestations in the social dynamics of patient-provider communication are difficult to detect. In this st...

Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input.

Proceedings of the National Academy of Sciences of the United States of America
Before they even speak, infants become attuned to the sounds of the language(s) they hear, processing native phonetic contrasts more easily than nonnative ones. For example, between 6 to 8 mo and 10 to 12 mo, infants learning American English get bet...

Phonetic variability constrained bottleneck features for joint speaker recognition and physical task stress detection.

The Journal of the Acoustical Society of America
Normalizing intrinsic variabilities (e.g., variability in speech production brought on by aging, physical or cognitive task stress, Lombard effect, etc.) in speech and speaker recognition models is essential for system robustness. This study focuses ...