A practical speech audiometry tool is the digits-in-noise (DIN) test for hearing screening of
populations of varying ages and hearing status. The test is usually conducted by a human …

Abstract The term “Silent Speech Interface” was introduced almost a decade ago to describe
speech communication systems using only non-acoustic sensors, such as …

This paper describes the performance of Amazigh speech recognition via an interactive
voice response in noisy conditions. The experiments were first conducted for the uncoded …

This article discusses the classification algorithms for the problem of personality
identification by voice using machine learning methods. We used the MFCC algorithm in the …

In this paper, the improvements in the recently implemented Kannada speech recognition
system is demonstrated in detail. The Kannada automatic speech recognition (ASR) system …

This paper presents our bootstrapping efforts of producing the first large freely available
Croatian automatic speech recognition (ASR) dataset, 1,816 hours in size, obtained from …

In the paper, we describe a research of DNN-based acoustic modeling for Russian speech
recognition. Training and testing of the system was performed using the open-source Kaldi …

Nowadays, deep learning is the most reliable approaches in the field of speech recognition
to do the Acoustic modeling. Working with a language like “Bengali” that is not very resource …

In this paper, a continuous Kannada speech recognition system is developed under different
noisy conditions. The continuous Kannada speech sentences are collected from 2400 …

Achieving better speech recognition accuracy under real-time conditions is still a
challenging task, and many researchers are striving to improve accuracy. In this paper, we …