The speaker recognition has been one of the interesting issues in signal and speech
processing over the last few decades. Feature selection is one of the main parts of speaker …

This study proposes an innovative methodology to enhance the performance of multilingual
Automatic Speech Recognition (ASR) systems by capitalizing on the high semantic similarity …

Voice and speaker recognition performances are measured based on the accuracy, speed
and robustness. These three key performance indicators are primarily dependent on voice …

The aim of this paper is to measure the recognition capability of composite features
extracted from speech signal and compare the result with other individually considered …

The aim of this paper is to extract and select features from speech signal that will make it
possible to have acceptable speaker recognition rate in real life. A variety of combinations …

This thesis focuses upon text independent closed set speaker identi cation. The
contributions relate to evaluation studies in the presence of various types of noise and …

Özet Körleme satranç, insan beyninin hafıza yapısının ve sınırlarının araştırılmasında
özellikle ilgi çekicidir. Körleme satrançta, oyuncu tahtayı görememekte, böylece durumu …

This paper describes how speech recognition automatically uses the local language that
originated from Indonesia, namely the Sundanese, which can control electronic devices in …

Voice recognition or speaker identification is a topic in artificial intelligence and computer
science that aims to identify a person based on his voice. Speaker identification is a …