Rahul Shrivastav
Overview
Explore the profile of Rahul Shrivastav including associated specialties, affiliations and a list of published articles.
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Articles
43
Citations
338
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Recent Articles
1.
Anand S, Park Y, Shrivastav R, Eddins D
J Speech Lang Hear Res
. 2023 Oct;
66(12):4849-4859.
PMID: 37902504
Purpose: Most people with dysphonia present with voices that vary along more than one voice quality (VQ) dimension. This study sought to examine the effect of covariance between breathy and...
2.
Park Y, Baker Brehm S, Kelchner L, Weinrich B, McElfresh K, Anand S, et al.
J Voice
. 2023 Sep;
PMID: 37739862
Objective: The vibratory source for voicing in children with dysphonia is classified into three categories including a glottal vibratory source (GVS) observed in those with vocal lesions or hyperfunction; supraglottal...
3.
Park Y, Anand S, Gifford S, Shrivastav R, Eddins D
J Speech Lang Hear Res
. 2022 Dec;
66(1):16-29.
PMID: 36516473
Purpose: Acoustic and perceptual quantification of vocal strain has been a vexing problem for years. To increase measurement rigor, a suitable single-variable matching stimulus for strain was developed and validated,...
4.
Park Y, Anand S, Kopf L, Shrivastav R, Eddins D
J Speech Lang Hear Res
. 2022 Oct;
65(11):4071-4084.
PMID: 36260821
Purpose: Dysphonic voices typically present multiple voice quality dimensions. This study investigated potential interactions between perceived breathiness and roughness and their contributions to overall dysphonia severity. Method: Synthetic stimuli based...
5.
Park Y, Anand S, Ozmeral E, Shrivastav R, Eddins D
J Speech Lang Hear Res
. 2022 Jul;
65(8):2748-2758.
PMID: 35867607
Purpose: Vocal roughness is often present in many voice disorders but the assessment of roughness mainly depends on the subjective auditory-perceptual evaluation and lacks acoustic correlates. This study aimed to...
6.
Devaraju D, Kemp A, Eddins D, Shrivastav R, Chandrasekaran B, Hampton Wray A
J Speech Lang Hear Res
. 2021 Aug;
64(9):3697-3706.
PMID: 34403278
Purpose Listeners shift their listening strategies between lower level acoustic information and higher level semantic information to prioritize maximum speech intelligibility in challenging listening conditions. Although increasing task demands via...
7.
Eddins D, Anand S, Lang A, Shrivastav R
J Voice
. 2020 Jan;
35(4):663.e9-663.e16.
PMID: 31932189
The most common measurement tools used in the perceptual evaluation of voice quality yield ordinal data and thus do not support the establishment of mathematical relationships among different measurement values....
8.
Anand S, Kopf L, Shrivastav R, Eddins D
J Voice
. 2019 Sep;
35(2):181-193.
PMID: 31493973
Objective: Classifying dysphonic voices as type 1, 2, and 3 signals based on their periodicity enables researchers to determine the validity of acoustic measures derived from them. Existing methods of...
9.
Kemp A, Eddins D, Shrivastav R, Hampton Wray A
J Speech Lang Hear Res
. 2019 Apr;
62(2):367-386.
PMID: 30950685
Purpose Improving the ability to listen efficiently in noisy environments is a critical goal for hearing rehabilitation. However, understanding of the impact of difficult listening conditions on language processing is...
10.
Bottalico P, Codino J, Cantor-Cutiva L, Marks K, Nudelman C, Skeffington J, et al.
J Voice
. 2018 Nov;
34(3):320-334.
PMID: 30471944
Introduction: Computer analysis of voice recordings is an integral part of the evaluation and management of voice disorders. In many practices, voice samples are taken in rooms that are not...