Prosody Modeling for Automatic Speech Recognition and Understanding
نویسندگان
چکیده
This paper summarizes statistical modeling approaches for the use of prosody (the rhythm and melody of speech) in automatic recognition and understanding of speech. We outline effective prosodic feature extraction, model architectures, and techniques to combine prosodic with lexical (word-based) information. We then survey a number of applications of the framework, and give results for automatic sentence segmentation and disfluency detection, topic segmentation, dialog act labeling, and word recognition.
منابع مشابه
Prosody Modeling for Automatic Speech Understanding: An Overview of Recent Research at SRI
Prosody has long been studied as an important knowledge source for speech understanding. In recent years there has been a large amount of computational work aimed at prosodic modeling for automatic speech recognition and understanding. Whereas most current approaches to speech processing model only the words, prosody provides an additional knowledge source that is inherent in, and exclusive to,...
متن کاملWhence and Whither Prosody in Automatic Speech Understanding: A Case Study
The ‘case’ this paper is dealing with is prosody research at the Chair for Pattern Recognition at the University of Erlangen– Nuremberg during the last fifteen years. We want to show how this mirrors the development of prosody research within automatic speech understanding in general. We sketch the realm of prosody in automatic speech understanding and relate the projects conducted to the resea...
متن کاملSimultaneous recognition of words and prosody in the Boston University Radio Speech Corpus q
This paper describes automatic speech recognition systems that satisfy two technological objectives. First, we seek to improve the automatic labeling of prosody, in order to aid future research in automatic speech understanding. Second, we seek to apply statistical speech recognition models of prosody for the purpose of reducing the word error rate of an automatic speech recognizer. The systems...
متن کاملAutomatic labeling of Japanese prosody using j-toBI style description
Speech corpora with prosodic labels are getting more and more important not only for speech synthesis but also for discourse modeling. A widely used labeling system for Japanese prosody, J-ToBI, however, is insufficient for applications like discourse modeling and it even lacks an accurate method for automatic labeling. In this paper, we propose an automatic labeling method for J-ToBI style des...
متن کاملUsing Prosodic Features in Language Models for Meetings
Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiting prosody for language models to aid automatic speech recognition in the context of meetings. Using an automatic syllable detection algorithm, the syllable-based prosodic features are extracted to form the prosodic representat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002