In this systematic review, we analyzed and evaluated the findings of studies on prosodic
features of vocal productions of people with autism spectrum disorder (ASD) in order to …

Automatic spoken language identification (LID) is a very important research field in the era of
multilingual voice-command-based human-computer interaction. A front-end LID module …

Conversations in the intelligent vehicles are usually short utterance. As the durations of the
short utterances are small (eg, less than 3 s), it is difficult to learn sufficient information to …

This work presents a resource-efficient solution for the spoken dialect recognition task under
semi-open set evaluation scenarios, where a closed set model is exposed to unknown class …

In this paper, i-vector and x-vector is used to extract the features from speech signal from
local Indonesia languages, namely Javanese, Sundanese and Minang languages to help …

In the recent times synthetic voice is used to deceive a speaker recognition based biometric
access systems. This paper presents synthetic speech detection in automatic speaker …

This paper investigates the development of language identification based on Mel-Frequency
Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. In this study, a total of …

In this paper, we conduct one of the very first studies for cross-corpora performance
evaluation in the spoken language identification (LID) problem. Cross-corpora evaluation …

From both perspectives of speech production and speech perception, vowels as syllable
nuclei can be considered as the most significant speech events. Detection of vowel events …

Local languages are the most widely used as communication media in the daily
conversations of Indonesian people. Preserving those local languages is crucial, especially …