Swapping one or more consonant-graphemes in a word into other phonologically similar
ones, which based on both place and manner of articulation, interestingly produces some …

An n-gram syllabification model generally produces a high error rate for a low-resource
language, such as Indonesian, because of the high rate of out-of-vocabulary (OOV) n-grams …

This paper presents a method for introducing class n-gram language models as a means for
overcoming data sparsity in the training of an automatic speech recognition (ASR) system …

This paper presents a quantitative analysis on the morphological complexity of Malayalam
language. Malayalam is a Dravidian language spoken in India, predominantly in the state of …

Syllabication or syllabification is an activity to detect syllable boundaries in a word. There
are two main ways for automatic syllabification, namely rule-based and data-driven. The rule …

This paper describes the current state-of-the-art language model for the Serbian language,
and also a specific way of dealing with one of the issues that is present in Serbian automatic …

The research presented in the paper addresses challenges related to the development of
more flexible systems for speech communication between humans and machines …

This paper explains in detail several methods for utilization of class based n-gram language
models for automatic speech recognition, within the Kaldi speech recognition framework. It …

In automatic speech recognition systems the training data used for system development and
data expected to be obtained during the practical use of the system do not have to fit each …

The paper presents an automatic speech recognition (ASR) system for dictating medical
findings, developed by AlfaNum–Speech Technologies Ltd for the Pension and Disability …