BACKGROUND/AIMS The current study explored the roles of dialect familiarityand social stereotypes in dialect interference effects in a speeded lexical classification task. METHODS Listeners classified the words bad and bed or had and head produced by local Midland and non-local Northern talkers and the words sod and side or rod and ride produced by non-local, non-stereotyped Northern and nonl...

Dialect differences within a given language represent major challenges for sustained speech system performance. For speech recognition, little if any knowledge exists on differences between dialects (e.g. vocabulary, grammar, prosody, etc.). Effective dialect classification can contribute to improved ASR, speaker ID, and spoken document retrieval. This study, presents an approach to establish a...

This study examined the extent to which speakers’ first language (L1) dialect affects the identification of word-final stops in Vietnamese. Stops in the word-final position are unreleased in Vietnamese. Further, there is a /t/-/k/ merger in the Southern, but not the Northern dialect. We tested the hypothesis that the stop tokens produced in the Southern dialect are identified less accurately th...

the paper aims at describing verbal tense system in the dialect of adkan, a village in khorasan-e shomali province in the northeast of iran. it seems that this dialect is one of the tati dialects in the area. since the main objective was to collect the oldest dialect, the data was gathered by interviewing some educated and uneducated old and middle-aged speakers. this study which is the first s...

In this paper we evaluate two different methods for the visual synthesis of Austrian German dialects with parametric HiddenSemi-Markov-Model (HSMM) based speech synthesis. One method uses visual dialect data, i.e. visual dialect recordings that are annotated with dialect phonetic labels, the other methods uses a standard visual model and maps dialect phones to standard phones. This second metho...

L1 transfer may be able to explain prosodic errors in an L2. For Japanese English prosody, several comparative studies have been conducted. Despite this, only oral reading texts have been used in previous studies and not much attention has been paid to the effect of differences in the L1 dialect, especially in the case of an “accentless” Japanese dialect. This preliminary study describes an inv...

Clean speech data is necessary for spoken language processing, however, there is no public Japanese dialect corpus collected for speech processing. Parallel speech corpora of dialect are also important because real dialect affects each other, however, the existing data only includes noisy speech data of dialects and their translation in common language. In this paper, we collected parallel spee...

A speaker's regional dialect is a rich source of information about that person. Two studies examined five- to six-year-old children's perception of regional dialect: Can they perceive differences among dialects? Have they made meaningful social connections to specific dialects? Experiment 1 asked children to categorize speakers into groups based on their accent; Experiment 2 asked them to match...

Traditional dialect maps are based on data from carefully selected informants which usually results in clear-cut dialect borders, isoglosses, with one dialect characteristic present on one side of the isogloss and absent on the other. We illustrate some of the problems and pitfalls connected with using dialect maps for ASR by comparing results from traditional dialect research with investigatio...