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 …

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 …

Most natural form of human communication depends on speech. In order to understand
human speech by enabling machines, computers can act as an intermediate for human …

Background: The computer assisted speech recognition system enabling voice recognition
for understanding the spoken words using sound digitization is extensively being used in the …

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 …

We describe here our work with automatic speech recognition (ASR) in the context of voice
search functionality on the Flipkart e-Commerce platform. Starting with the deep learning …

The term “automatic speech recognition” refers to the procedure by which an auditory signal
of spoken words can be converted into text. Voice recognition is another term that may be …

Speech‐based computer command and control utilize natural speech to enable computers
to understand human language and execute tasks through commands. However, there has …

Abstract Human-Computer Interaction (Human Factor) is described as an approach in which
individuals communicates with facts, news, computers, tasks mainly in the areas of the …