Variability in speech due to dialect is a major factor limiting speech system performance for speech recognition, spoken document retrieval, and dialog systems. In this study, we propose a novel discriminative algorithm to improve dialect classification for unsupervised spontaneous speech in Arabic. No transcripts are used for either training or testing, and all data are spontaneous speech. The...

We quantitatively investigate how the telephone channel and regional dialect might impact formant frequencies estimates extracted from tools commonly used in law enforcement. The telephone channel and regional dialect are important factors in forensic phonetics. In 90% of forensic cases, the speech sample in question is recorded after transmission via telephone (Byrne and Foulkes, 2004). In add...

background: this study aimed at investigating the prevalence and risk factors of bovine thelaziosis, performed in the southeast of iran, an endemic area for iranian sistani cattle. methods: between september 2012 to october 2014, 1924 cattle, sistani breed (n= 1235) and brahman breed (n=689) of all sex and age groups collected from sistan and baluchestan province were examined using visual obse...

Sentiment analysis (SA) has received growing attention in Arabic language research. However, few studies have yet to directly apply SA to Arabic due to lack of a publicly available dataset for this language. This paper partially bridges this gap due to its focus on one of the Arabic dialects which is the Saudi dialect. This paper presents annotated data set of 4700 for Saudi dialect sentiment a...

To start a research on the application of dialect in movies and their formation causes and social functions, we must place the questions into specific social and cultural background and examine the relations between dialect, mainstream language and the cultural views of audiences. This paper attempts to take Chinese movies as a starting point to discuss heterogeneity issues in filmic culture by...

Several recent papers on Arabic dialect identification have hinted that using a word unigram model is sufficient and effective for the task. However, most previous work was done on a standard fairly homogeneous dataset of dialectal user comments. In this paper, we show that training on the standard dataset does not generalize, because a unigram model may be tuned to topics in the comments and d...

Speech recognition for under-resourced languages represents an active field of research during the past decade. The tunisian arabic dialect has been chosen as a typical example for an under-resourced Arabic dialect. We propose, in this paper, our first steps to build an automatic speech recognition system for Tunisian dialect. Several Acoustic Models have been trained using HMM-GMM and HMM-DNN ...

In suspicion, characteristic dialect handling is an exceptionally brilliant strategy for the human-PC interface. Regular dialect grateful is once in a while alludes to as an Artificial Intelligence-whole issue since normal dialect distinguishing proof appears to include wide learning about the outside world and the capacity to control it. NLP has vital have regular qualities with the field of c...