Human listeners are able to quickly and robustly adapt to new accents and do so by using information about speaker’s identities. This paper will present experimental evidence that, even considering information about speaker’s identities, listeners retain a strong bias towards the acoustics of their own dialect after dialect learning. Participants’ behaviour was accurately mimicked by a classifi...

This paper investigates the perception of grammatical number in two Limburgian dialects of Dutch, Roermond and Weert, as a function of focus and intonational context. In these dialects, number can be marked segmentally or prosodically. The Roermond dialect, but not the Weert dialect, appears to neutralize the prosodic distinction outside the focus constituent in IP-internal syllables. We explai...

In this paper, we introduce a dialect recognition method that makes use of phonetic models adapted per dialect without phonetically labeled data. We show that this method can be implemented efficiently within an existing PRLM[1] system. We compare the performance of this system with other state-of-theart dialect recognition methods (both acoustic and token-based) on the NIST LRE 2007 English an...

this article is an effort to know the dialect of people in kashan and to survey its vocal and phonic characteristics by studying the language of the people of this city. collecting and classifying some words, the author tries to analyze the most important factor in vocal and phonic differences, namely, the changes of vowels and consonants. also, in this article a try is made to investigate the ...

Socioperceptual research has shown that speech perception can be biased by the perceived dialect of a speaker. While these studies have focused on vowels, the current study investigates whether fricative perception exhibits similar dialect effects. The Mandarin alveolar-retroflex contrast, often used for distinguishing between Beijing and Taiwan Mandarin, was the manipulated feature. When prese...

This paper describes a methodology, and the results stemming from it, for analysing the dynamic encoding of speaker identity and dialect in prosodic parameters. A method based on employing properties of the well known Dynamic Time Warping (DTW) algorithm’s path of best match allows the separation of purely dynamic from static properties of acoustic parameters and hence their evaluation as to dy...

Automatic dialect classification has gained interests in the field of speech research because it is important to characterize speaker traits and to estimate knowledge that could improve integrated speech technology (e.g., speech recognition, speaker recognition). This study addresses novel advances in unsupervised spontaneous Latin American Spanish dialect classification. The problem considers ...

Dialect recognition is a challenging and multifaceted problem. Distinguishing between dialects can rely upon many tiers of interpretation of speech data—e.g., prosodic, phonetic, spectral, and word. High-accuracy automatic methods for dialect recognition typically use either phonetic or spectral characteristics of the input. A challenge with spectral system, such as those based on shifted-delta...