Lexical, Syntactic, and Stress-Pattern Cues for Speech Segmentation
نویسندگان
چکیده
منابع مشابه
Acoustic cues to lexical segmentation: a study of resynthesized speech.
It has been posited that the role of prosody in lexical segmentation is elevated when the speech signal is degraded or unreliable. Using predictions from Cutler and Norris' [J. Exp. Psychol. Hum. Percept. Perform. 14, 113-121 (1988)] metrical segmentation strategy hypothesis as a framework, this investigation examined how individual suprasegmental and segmental cues to syllabic stress contribut...
متن کاملLexical, Prosodic, And Syntactic Cues For Dialog Acts
The structure of a discourse is reflected in many aspects of its linguistic realization, including its lexical, prosodic, syntactic, and semantic nature. Multiparty dialog contains a particular kind of discourse structure, the dialog act (DA). Like other types of structure, the dialog act sequence of a conversation is also reflected in its lexical, prosodic, and syntactic realization. This pape...
متن کاملThe Relationship between Syntactic and Lexical Complexity in Speech Monologues of EFL Learners
: This study aims to explore the relationship between syntactic and lexical complexity and also the relationship between different aspects of lexical complexity. To this end, speech monologs of 35 Iranian high-intermediate learners of English on three different tasks (i.e. argumentation, description, and narration) were analyzed for correlations between one measure of sy...
متن کاملLexical and Syntactic cues to identify Reference Scope of Citance
In this paper, we present our system addressing Task 1 of CL-SciSumm Shared Task at BIRNDL 2016. Our system makes use of lexical and syntactic dependency cues, and applies rule-based approach to extract text spans in the Reference Paper that accurately reflect the citances. Further, we make use of lexical cues to identify discourse facets of the paper to which cited text belongs. The lexical an...
متن کاملIntegrating Prosodic and Lexical Cues for Automatic Topic Segmentation
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and prosodic information using hiddenMarkov models and decision trees. Lexical information is obtained from a speech recognizer, and prosodic features are extracted automatically from speech waveforms. We e...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Speech, Language, and Hearing Research
سال: 2000
ISSN: 1092-4388,1558-9102
DOI: 10.1044/jslhr.4306.1301