In this paper, a model is proposed to improve monophone-based connected word speech
recognition for the Hindi language by utilizing the Hidden Markov Model (HMM). The model …

This paper reports our efforts toward an ASR system for a new under-resourced language
(Fongbe). The aim of this work is to build acoustic models and language models for …

The creation of text corpora requires a sequence of processing steps in order to constitute,
normalize, and then to directly exploit it by a given application. This paper presents a …

Automatic speech recognition systems based on end-to-end models (E2E-ASRs) can
achieve comparable performance to conventional ASR systems while reproducing all their …

Different language modeling approaches are evaluated on two under-resourced,
agglutinative, South African languages; Sesotho and isiZulu. The two languages present …

This paper proposes a multilingual audio information management system based on
semantic knowledge in complex environments. The complex environment is defined by the …

Currently, there are three challenges for constructing reliable ASR systems for the Khmer
language:(1) the lack of language resources (text and speech corpora) in digital form,(2) the …

Wireless sensor networks (WSN) offer a powerful combination of distributed sensing,
communication and computing. An environmental WSN testbed, REALnet is proposed and …

Building pronunciation lexicon is one of the most important steps for building automatic
speech recognition (ASR) systems and text-tospeech (TTS) systems. For a low-resource …

The search engine process is crucial for document content retrieval. For Khmer documents,
a tool is needed to extract essential keywords. Despite the daily generation of significant …