Results 31 to 40 of about 545,718 (303)

AI Education Matters: Teaching Hidden Markov Models

open access: yes, 2018
In this column, we share resources for learning about and teaching Hidden Markov Models (HMMs). HMMs find many important applications in temporal pattern recognition tasks such as speech/handwriting/gesture recognition and robot localization.
Neller, Todd W.
core   +1 more source

Music Information Retrieval: An Inspirational Guide to Transfer from Related Disciplines [PDF]

open access: yes, 2012
The emerging field of Music Information Retrieval (MIR) has been influenced by neighboring domains in signal processing and machine learning, including automatic speech recognition, image processing and text information retrieval.
  +4 more
core   +1 more source

Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech

open access: yesCommunications Medicine
Background Integration of speech into healthcare has intensified privacy concerns due to its potential as a non-invasive biomarker containing individual biometric information.
Soroosh Tayebi Arasteh   +8 more
doaj   +1 more source

Impact of depression on speech perception in noise.

open access: yesPLoS ONE, 2019
Effective speech communication is critical to everyday quality of life and social well-being. In addition to the well-studied deficits in cognitive and motor function, depression also impacts communication.
Zilong Xie   +4 more
doaj   +1 more source

Impact of stimulus-related factors and hearing impairment on listening effort as indicated by pupil dilation [PDF]

open access: yes, 2017
Previous research has reported effects of masker type and signal-to-noise ratio (SNR) on listening effort, as indicated by the peak pupil dilation (PPD) relative to baseline during speech recognition. At about 50% correct sentence recognition performance,
Kramer, Sophia E.   +7 more
core   +2 more sources

Speech pattern recognition for forensic acoustic purposes [PDF]

open access: yesTECCIENCIA, 2014
The present paper describes the development of a software for analysis of acoustic voice parameters (APAVOIX), which can be used for forensic acoustic purposes, based on the speaker recognition and identification. This software enables to observe in a clear manner, the parameters which are sufficient and necessary when performing a comparison between ...
Herrera Martínez, Marcelo   +2 more
openaire   +2 more sources

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard   +8 more
wiley   +1 more source

Review of Automatic Estimation of Emotions in Speech

open access: yesApplied Sciences
Identification of emotions exhibited in utterances is useful for many applications, e.g., assisting with handling telephone calls or psychological diagnoses. This paper reviews methods to identify emotions from speech signals.
Douglas O’Shaughnessy
doaj   +1 more source

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis   +13 more
wiley   +1 more source

ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES [PDF]

open access: yesJournal of Engineering Science and Technology, 2015
In recent years, speech technology has become a vital part of our daily lives. Various techniques have been proposed for developing Automatic Speech Recognition (ASR) system and have achieved great success in many applications.
VIMALA C., RADHA V.
doaj  

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