Reverberation deteriorates the quality and intelligibility of speech, leading to the poor
performance of classification systems. Room reverberation parameters depend on the …

Speech recognition is the process of converting speech signals into words. For acoustic
modeling HMM-GMM is used for many years. For GMM, it requires assumptions near the …

Speech signal is temporally and acoustically varies. Recognition of speech by static input
neural network requires temporal normalization of the speech to be equal to the number of …

Support vector machines (SVMs) can be trained to detect manner transitions between
phones and to identify the manner and place of articulation of any given phone. The SVMs …

A speech recognition system converts the speechsound into the corresponding text. The
uttered speech is first understood by the machine and then the corresponding text is …

Bu çalışmada Yapay Sinir Ağları konusu incelenmiş ve bir Konuşma Tanıma uygulaması
gerçekleştirilmiştir. Yapay sinir ağlarının gelişimindeki kilometre taşlarına değinilmiş ve bu …

Deterministic behaviour is a prerequisite for most approaches to object replication. In order
to avoid the non-determinism of multithreading, many object replication systems are limited …

Classification falls under supervised learning. Supervised learning is a learning process
from a given dataset or training dataset where both input and map** output data are …

Natural language processing is the technology used to aid computers to understand the
human's natural language. However this is not an easy task to teach a machine to …

The provision of embedding neural networks into software applications can enable variety of
artificial intelligence systems for individual users as well as organizations. Previously …