Results 101 to 110 of about 565 (156)

Chlamydia psittaci-related pleuro-myocarditis. [PDF]

Braz J Infect Dis
Sreiri N, Ben Abdallah Y, Belfeki N, Klopfenstein T, Zayet S.   +4 more
europepmc   +1 more source

The Iberian sibilants revisited

Palaeohispanica. Revista sobre lenguas y culturas de la Hispania Antigua, 2019
openaire   +1 more source

Vertical Dimension in Prosthodontics Theory and Practice (Part III): Contemporary Clinical Protocols and Decision-Making for Loss of Vertical Dimension of Occlusion. [PDF]

Cureus
Fayad MI, Moussa R, Abdel-Gawwad EA, Laithy AA, Mahmoud EE, Shon AA, Hassan SM, Karam Eldain A, Alwakeel B, Helal MA.   +9 more
europepmc   +1 more source

Throat and acoustic paired speech dataset for deep learning-based speech enhancement. [PDF]

Sci Data
Kim Y, Song Y, Chung Y.
europepmc   +1 more source

Comparison of Methods of Eliciting Vital Capacity: Forced Versus Slow Vital Capacity. [PDF]

J Voice
Awan SN, Awan JA.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

The Medieval Sibilants

Language, 1952
Modern West European languages (and their offshoots such as American English) generally have just one voiceless fortis sibilant phoneme /s/, whatever else there may be, such as /z, š, θ , c/. But in every considerable area at least two quite different [s] phones are in use, dorsal [
Martin Joos
exaly   +2 more sources

A following sibilant increases the ambiguity of a sibilant continuum

The Journal of the Acoustical Society of America, 2013
We examined the effect of three following contexts: /s/, /∫/, and vowel, on the categorization of a /s/-/∫/ continuum. Unlike previous findings of a shift in category boundary due to context [Mann and Repp (1980)], we found that in the context of a following sibilant, listeners found the target sibilant to be more ambiguous (shallower categorization ...
David Fleischer, Michael Wagner, Meghan Clayards   +2 more
openaire   +1 more source

7. The Sibilants

1991
exaly   +2 more sources

Sibilant speech detection in noise

Interspeech 2012, 2012
We present an algorithm for identifying the location of sibilant phones in noisy speech. Our algorithm does not attempt to identify sibilant onsets and offsets directly but instead detects a sustained increase in power over the entire duration of a sibilant phone.
Sira Gonzalez, Mike Brookes
openaire   +1 more source

Sibilants in Ecuadoran Spanish

2021
exaly   +2 more sources