Sentence examples for network of speech from inspiring English sources
The Albayzín evaluation campaign is an internationally open set of evaluations organized by the Spanish Network of Speech Technologies (RTH) every 2 years.
This campaign is an internationally open set of evaluations supported by the Spanish Network of Speech Technologies (RTTH [32]) and the ISCA Special Interest Group on Iberian Languages (SIG-IL [33]), which have been held every 2 years since 2006.
These campaigns are internationally open sets of evaluations supported by the Spanish Network of Speech Technologies (RTTH 1 and the ISCA Special Interest Group on Iberian Languages (SIG-IL 2, SIG-IL 2ve been held every 2 years since 2006.
These campaigns are internationally open sets of evaluations supported by the Spanish Network of Speech Technologies (RTTH 1 and the ISCA Special Interest Group on Iberian Languages (SIG-IL 2 SIG-IL 2ry 2 years from 2006.
This campaign is an internationally open set of evaluations supported by the Spanish Network of Speech Technologies (RTTHc) and the ISCA Special Interest Group on Iberian Languages (SIG-IL) every 2 years from 2006.
Hickok and Poeppel (2007) proposed that the "combinatorial network" of speech processing involves the anterior middle temporal gyrus and the anterior inferior temporal sulcus, and they excluded the AG in their proposed network.
Application of time-windowed networks to speech recognition tasks introduces two major problems.
The World Wide Web that powers these services was originally designed as a global decentralized network in which freedom of speech reigned supreme and no single entity controlled what was published online.
Author of the book, 'Artificial Neural Networks for Speech Analysis/Synthesis", 1992.
In its appellate brief, Verizon maintains that in restricting broadband network providers' manner in transmission of speech, the Open Internet Order must be subjected to the O'Brien test; that is, the restriction must be content-neutral, related to a substantial government interest, and narrowly tailored.
Our simulated data further show that a gamma biophysical network, receiving a spectral decomposition of speech as input, can take advantage of the theta time reference to encode fast phonemic information.
