Variation in speech is often quantified by comparing phonetic transcriptions of the same
utterance. However, manually transcribing speech is time-consuming and error prone. As an …

Although unfamiliar accents can pose word identification challenges for children and adults,
few studies have directly compared perception of multiple nonnative and regional accents or …

In English, a sentence like “He made out our intentions.” could be misperceived as “He may
doubt our intentions.” because the coda/d/sounds like it has become the onset of the next …

We propose using a dynamic time war** (DTW) difference-to-sum ratio to classify speech
as either matching or diverging from a linguistic standard. This measure effectively …

Using phonological neighborhood density has been a common method to quantify lexical
competition. It is useful and convenient but has shortcomings that are worth reconsidering …

Purpose: This meta-analysis study aimed to determine the optimal level of talker variability in
training to maximize second-language speech learning. Method: We conducted a systematic …

Open Methods are resources that pertain to at least one stage in the linguistics research
process and are available free of charge to all who can find them (eg, Boersma & Weenink …

Deep acoustic models represent linguistic information based on massive amounts of data.
Unfortunately, for regional languages and dialects such resources are mostly not available …

Given an orthographic transcription, forced alignment systems automatically determine
boundaries between segments in speech, facilitating the use of large corpora. In the present …

Unfamiliar accents can cause word recognition challenges, particularly in noisy
environments, but few studies have incorporated quantitative pronunciation distance metrics …