Pause reports for spontaneous dialogic speech
نویسندگان
چکیده
منابع مشابه
Filled Pause Distribution and Modeling in Quasi-Spontaneous Speech
Filled pauses (FP) are characteristic of spontaneous speech and present considerable problems for speech recognition by being often recognized as short words. Recognition of quasispontaneous speech (medical dictation) is subject to this problem as well. An um can be recognized as thumb or arm if the recognizer’s language model does not adequately represent FP’s. Representing FP’s in the trainin...
متن کاملA real-time filled pause detection system for spontaneous speech recognition
This paper describes a method for automatically detecting filled (vocalized) pauses, which are one of the hesitation phenomena that current speech recognizers typically cannot handle. The detection of these pauses is important in spontaneous speech dialogue systems because they play valuable roles, such as helping a speaker keep a conversational turn, in oral communication. Although a few speec...
متن کاملModel based speech pause detection
This paper presents two new algorithms for robust speech pause detection (SPD) in noise. Our approach was to formulate SPD into a statistical decision theory problem for the optimal detection of noise-only segments, using the framework of model-based speech enhancement (MBSE). The advantages of this approach are that it performs well in high noise conditions, all necessary information is availa...
متن کاملDependency Analysis of Spontaneous Monologue Speech Using Pause and F0 Information: A Preliminary Study
This paper deals with the problem of exploiting prosodic information in syntactic analysis of spontaneous monologue utterances of non-professional speakers. Duration of pauses at phrase boundaries and relative F0 contour features, which improve parsing accuracy of read sentences, were also found to be effective for parsing spontaneous speech. Dependency analysis was performed by the minimum pen...
متن کاملPause Prediction from Text for Speech Synthesis with User-Definable Pause Insertion Likelihood Threshold
Predicting the location of pauses from text is an important aspect for speech synthesizers. The accuracy of pause prediction can significantly influence both naturalness and intelligibility. Pauses which help listeners to better parse the synthesized speech into meaningful units are deemed to increase naturalness and intelligibility ratings, while pauses in unexpected or incorrect locations can...
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ژورنال
عنوان ژورنال: Bulletin of the Psychonomic Society
سال: 1991
ISSN: 0090-5054
DOI: 10.3758/bf03342684