A typical solution of Automatic Speech Recognition (ASR) problems is realized by feature
extraction, feature classification, acoustic modeling and language modeling steps. In …

Speech being a natural mode of communication for humans is still a challenging problem for
Speech Recognition (SR) using a computer. Recently the advancement of technology and …

Automatic Speech Recognition (ASR) deals with recognizing spoken words or sentences
through an automated program or an algorithm. ASR has multi-faceted applications in …

Using Deep Neural Networks (DNN) as an advanced Artificial Neural Networks (ANN) has
become widespread with the development of computer technology. Although DNN has been …

The current Automatic Speech Recognition (ASR) modeling strategy still suffers from huge
performance degradation when faced with languages with limited resources such as …

Otomatik Konuşma Tanıma sistemleri temel olarak akustik bilgiden faydalanılarak
geliştirilmektedir. Akustik bilgiden fonem bilgisinin elde edilmesi için eşleştirilmiş konuşma …

In response to the similar challenges in building large-scale distributed applications and
platforms on the Web, microservice architecture has emerged and gained a lot of popularity …

Speech is the most common and efficient form of communication between people. Automatic
speech recognition (ASR) or speech-to-text (SST) system is the translation of spoken …

The proposed work carried out to convert the Kannada speech signal to a text document
using Sphinx tools. The system is implemented for the large vocabulary of the Kannada …

Speech is one of the most significant types of communication between human beings. It is
beginning to be a preferred means for communication between machines and humans. The …