AIMC Topic: Speech Recognition Software

Clear Filters Showing 81 to 90 of 97 articles

"Sorry I Didn't Hear You." The Ethics of Voice Computing and AI in High Risk Mental Health Populations.

AJOB neuroscience
This article examines the ethical and policy implications of using voice computing and artificial intelligence to screen for mental health conditions in low income and minority populations. Mental health is unequally distributed among these groups, w...

Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning.

JAMA internal medicine
This study assesses the feasibility of using machine learning to automatically populate a review of systems of all symptoms discussed in an encounter between a patient and a clinician.

A deep learning algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker and reverberation.

The Journal of the Acoustical Society of America
For deep learning based speech segregation to have translational significance as a noise-reduction tool, it must perform in a wide variety of acoustic environments. In the current study, performance was examined when target speech was subjected to in...

Talker change detection: A comparison of human and machine performance.

The Journal of the Acoustical Society of America
The automatic analysis of conversational audio remains difficult, in part, due to the presence of multiple talkers speaking in turns, often with significant intonation variations and overlapping speech. The majority of prior work on psychoacoustic sp...

Vision-referential speech enhancement of an audio signal using mask information captured as visual data.

The Journal of the Acoustical Society of America
This paper describes a vision-referential speech enhancement of an audio signal using mask information captured as visual data. Smartphones and tablet devices have become popular in recent years. Most of them not only have a microphone but also a cam...

[Artificial intelligence for future MD].

Giornale italiano di nefrologia : organo ufficiale della Societa italiana di nefrologia
Health care workers need artificial intelligence. Artificial intelligence is a set of studies and techniques that tend to the realization of machines, which solve complex problems automatically, simulating or emulating human intelligence activities. ...

Automatic speech recognition: A primer for speech-language pathology researchers.

International journal of speech-language pathology
Automatic speech recognition (ASR) is increasingly becoming an integral component of our daily lives. This trend is in large part due to recent advances in machine learning, and specifically in deep learning, that have led to accurate ASR across nume...

Conversational agents in healthcare: a systematic review.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes.

Evaluating automatic speech recognition systems as quantitative models of cross-lingual phonetic category perception.

The Journal of the Acoustical Society of America
Theories of cross-linguistic phonetic category perception posit that listeners perceive foreign sounds by mapping them onto their native phonetic categories, but, until now, no way to effectively implement this mapping has been proposed. In this pape...