Automatic speech recognition involves methodologies for translation of spoken language
into text. An important problem that needs to be solved for the success of speech recognition …

In this paper, a novel method for spotting the fricative and plosive regions from continuous
speech is discussed. A two-stage recognition system is designed for spotting and verifying …

Depending on the acoustic properties, sound units can be grouped into six broad categories
as Vowels (V), Nasals (N), Fricatives (F), Approximants (A), Plosives (P) and Silence (S) …

Phonetic Engine (PE) is a system that is used to determine the sequence of phones in a
spoken utterance. In order to transcribe the speech database, International Phonetic …

This paper presents a novel method of classifying speech phonemes. Four hybrid
techniques based on the acoustic-phonetic approach and pattern recognition approach are …

An audio utterance can be identified as being spoken in a particular language by using
automatic language identification (LID). Each language has its own phoneme set. Hence …

Abstract Language-independent spoken term detection (LI-STD) refers to the process of
locating the occurrences of spoken queries from speech databases of any language. This …

Phonetic Engine (PE) is the first stage of automatic speech recognition system that converts
input speech to a sequence of phonetic symbols. A baseline phonetic engine is created …

This paper introduces different models for pre-processing classification and their
performance in Automatic Speech Recognition system. Different Recurrent Neural Network …

Different studies done on broad phoneme classification reveal that the realization of a
language independent speech system is a challenging task. The main aim of this work …