Speech recognition is the most emerging field of research, as speech is the natural way of
communication. This paper presents the different technologies used for continuous speech …

The paper presents a systematic review of acoustic modeling (AM) techniques in speech
recognition (SR). Acoustic modeling establishes a relationship between acoustic information …

The research work presents experimental work to build a speaker-independent connected
word Hindi speech recognition system using different feature extraction techniques with …

Phoneme recognition is an essential step in the development of a speech recognition
system (SRS), as phonemes are fundamental building blocks in a spoken language. This …

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 …

In this paper, one of the acoustic units of speech, the syllable, is used for the development of
a continuous Hindi speech recognition system. The syllable is a larger acoustic unit that …

Background: Speech Recognition is the most effective and suitable way of communication.
Extracted features play an important role in speech recognition. Previous research works for …

Speech emotion recognition (SER) is a rapidly evolving field in affective computing and
human-computer interaction. In general, a SER system extracts and classifies prominent …

Abstract Automatic Speech Recognition (ASR) has become one of the major research areas
over the past decade and gained a lot of interest. Their system implementation, adaptation to …

In linguistics, phonemes are the atomic sound, called word segmentor play an important role
to recognize the word properly. A novel approach of seven Bengali vowels and ten …