Natural language and human–machine interaction is a very much traversed as well as
challenging research domain. However, the main objective is of getting the system that can …

Speech recognition of a language is a key area in the field of pattern recognition. This paper
presents a comprehensive survey on the speech recognition techniques for non-Indian and …

Building an open domain automatic speech recognition (ASR) system can be accomplished
by converting voice into text and performing a text classification on top of the converted text …

Manipuri is a low-resource, tonal language spoken predominantly in Manipur, a
northeastern state of India. It has two tones-level and falling tones. For an acceptable …

Fuzzy classification is the task of partitioning a feature space into fuzzy classes. A Neuro
fuzzy classifier with linguistic hedges is proposed for noisy and clean speech classification …

This paper aims to compare the feature extraction methods for accent dependent Thai
speech from three regions including central, southern and northeastern regions. We …

Nowadays, the number of chronic patients who had to stay in the hospital is high. The
bedridden patients need carers to help them in many activities such as giving medicines …

This research, exploration displays the aftereffects of utilizing the blend of the multi-layer
perceptron network system to classify Thai speech. The parameters of the training process …

Effective and proper pronunciation is essential to pronounce words correctly. Practicing Thai
vowel pronunciation is difficult for non-native speakers to understand on their own. Experts …

Neuro-Fuzzy is one of the techniques commonly used in classification as it has been proven
satisfactory in predicting results. The neuro-fuzzy system is divided into 3 layers: the first …