Capturing the large variability of conversational speech in the framework of purely phone based speech recognizers is virtually impossible. It has been shown earlier that suprasegmental features such as speaking rate, duration and syllabic, syntactic and semantic structure are important predictors of pronunciation variation. In order to allow for a tighter coupling of these predictors of pronun...

Language and Cognitive Processes Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713683153 Processing dependencies between segmental and suprasegmental features in Mandarin Chinese Yunxia Tong ab; Alexander L. Francis a; Jackson T. Gandour a a Department of Speech Language Hearing Sciences, Purdue University, ...

Speaker identification performance is almost perfect in neutral talking environments. However, the performance is deteriorated significantly in shouted talking environments. This work is devoted to proposing, implementing, and evaluating new models called Second-Order Circular Suprasegmental Hidden Markov Models (CSPHMM2s) to alleviate the deteriorated performance in the shouted talking environ...

Four experiments examined Dutch listeners' use of suprasegmental information in spoken-word recognition. Isolated syllables excised from minimal stress pairs such as VOORnaam/voorNAAM could be reliably assigned to their source words. In lexical decision, no priming was observed from one member of minimal stress pairs to the other, suggesting that the pairs' segmental ambiguity was removed by su...

The paralinguistic features, however this conference classifies the “Paralinguistic analysis” as Speaker identification, Keyword/topic spotting, and Language identification, include emotional aspects of voice, which is focused recently on interpersonal communications. Study starts from description and statistics of those features. Among many acoustic characteristics, we investigated features re...

It is well known that speaker identification yields very high performance in a neutral talking environment; on the other hand, the performance has been sharply declined in a shouted talking environment. This work aims at proposing, implementing, and evaluating novel Third-Order Circular Suprasegmental Hidden Markov Models (CSPHMM3s) to improve the low performance of text-independent speaker ide...

The present study investigated the efficacy of segmental/suprasegmental vs. holistic pronunciation instruction in development listening comprehension skills by EFL learners, using a pre-test post-test design. Six groups 20 intermediate learners at university Iran took part study, all receiving same amount (10 hours over 5 weeks). control group listened to/viewed authentic audio recordings and m...

This work is devoted to capturing Emirati-accented speech database (Arabic United Arab Emirates database) in each of neutral and shouted talking environments in order to study and enhance text-independent Emirati-accented “speaker identification performance in shouted environment” based on each of “First-Order Circular Suprasegmental Hidden Markov Models (CSPHMM1s), Second-Order Circular Supras...

Words can be distinguished by segmental differences or by suprasegmental differences or both. Studies from English suggest that suprasegmentals play little role in human spoken-word recognition; English stress, however, is nearly always unambiguously coded in segmental structure (vowel quality); this relationship is less close in Dutch. The present study directly compared the effects of segment...