Ananthakrishna Chintanpalli
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Explore the profile of Ananthakrishna Chintanpalli including associated specialties, affiliations and a list of published articles.
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9
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63
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Recent Articles
1.
Sampath K, Rajagopal S, Chintanpalli A
Sci Rep
. 2024 Jan;
14(1):2144.
PMID: 38273131
Bone cancer is a rare in which cells in the bone grow out of control, resulting in destroying the normal bone tissue. A benign type of bone cancer is harmless...
2.
Settibhaktini H, Heinz M, Chintanpalli A
J Acoust Soc Am
. 2021 Dec;
150(5):3581.
PMID: 34852572
A difference in fundamental frequency (F0) between two vowels is an important segregation cue prior to identifying concurrent vowels. To understand the effects of this cue on identification due to...
3.
Smith S, Chintanpalli A, Heinz M, Sumner C
Acta Acust United Acust
. 2018 Oct;
104(5):922-925.
PMID: 30369861
When presented with two vowels simultaneously, humans are often able to identify the constituent vowels. Computational models exist that simulate this ability, however they predict listener confusions poorly, particularly in...
4.
Settibhaktini H, Chintanpalli A
J Acoust Soc Am
. 2018 Feb;
143(1):440.
PMID: 29390795
The difference in fundamental frequency (F0) between talkers is an important cue for speaker segregation. To understand how this cue varies across sound level, Chintanpalli, Ahlstrom, and Dubno [(2014). J....
5.
Chintanpalli A, Ahlstrom J, Dubno J
J Acoust Soc Am
. 2017 Jan;
140(6):4142.
PMID: 28040038
Differences in formant frequencies and fundamental frequencies (F0) are important cues for segregating and identifying two simultaneous vowels. This study assessed age- and hearing-loss-related changes in the use of these...
6.
Chintanpalli A, Ahlstrom J, Dubno J
J Assoc Res Otolaryngol
. 2014 Jul;
15(5):823-37.
PMID: 25002128
Although differences in fundamental frequencies (F0s) between vowels are beneficial for their segregation and identification, listeners can still segregate and identify simultaneous vowels that have identical F0s, suggesting that additional...
7.
Chintanpalli A, Heinz M
J Acoust Soc Am
. 2013 Oct;
134(4):2988-3000.
PMID: 24116434
Normal-hearing listeners take advantage of differences in fundamental frequency (F0) to segregate competing talkers. Computational modeling using an F0-based segregation algorithm and auditory-nerve temporal responses captures the gradual improvement in...
8.
Chintanpalli A, Jennings S, Heinz M, Strickland E
J Assoc Res Otolaryngol
. 2012 Jan;
13(2):219-35.
PMID: 22286536
The medial olivocochlear reflex (MOCR) has been hypothesized to provide benefit for listening in noise. Strong physiological support for an anti-masking role for the MOCR has come from the observation...
9.
Chintanpalli A, Heinz M
J Acoust Soc Am
. 2008 Feb;
122(6):EL203-9.
PMID: 18247642
Near-Poisson variability in auditory-nerve (AN) responses limits the accuracy of automated tuning-curve algorithms. Here, a typical adaptive tuning-curve algorithm was used with a physiologically realistic AN model with and without...