[PDF] Top 20 A Statistical Approach to Automatic Speech Summarization

... state-of-the-art speech recognition technology can obtain high recognition accuracy for speech read from a previously written text or similar types of pre-prepared language, the accuracy is quite poor for ... See full document

... Connectionist Approach to Generic Text Summarization: The aim here is to auto summarizes large ...This approach utilizes adaptive, incremental learning and knowledge representation system that ... See full document

... of automatic text summarization are made to handle the most popular languages such as English, French, ...Arabic automatic text summarization by extraction-based ...the statistical ... See full document

... an automatic text summarization system by combining both a statistical approach and a neural ...text summarization based on fuzzy logic by selecting a set of features namely sentence ... See full document

... text summarization based on sentence clustering and ...a statistical approach for sentence clustering based on similarity of sentences followed by sentence ranking based on eigen ...with ... See full document

... simple speech machine that answers to a limited small set of words was ...of speech recognition ...of speech recognition depends on LPC ...template-based approach towards a more accurate ... See full document

... Abstract— Automatic text summarization system generates summaries or abstract of large ...for summarization of text in various ...used statistical methods is graph theoretic ... See full document

... Text summarization (or automatic summarization) is the creation of a shortened version of a text by a computer ...text summarization: extraction and ...and/or statistical methods for ... See full document

... hybrid approach. The superficial approach makes little or no use of linguistic knowledge in order to produce ...this approach, it is common to make use of statistical and empirical ...detailed ... See full document

... Hori et. al (2003) proposed an automatic eval- uation method for speech summarization based on word recognition accuracy. They reported that their method is superior to BLEU (Papineni et al., 2002) ... See full document

... of summarization. Automatic text summarization reduces text contents into most important concepts and ideas under a particular ...on automatic text summarization has emphasized on ... See full document

... Document summarization has been a rapidly evolving subfield of Information Retrieval (IR) since (Luhn, ...document summarization will be greatly helpful to the internet users; besides, the techniques it ... See full document

... of speech recognition is to transform the speech content into knowledge that forms the basis for linguistic or cognitive tasks such as translation into another ... See full document

... A phonetically balanced pronunciation dictionary is required to compile speech audio & transcriptions into acoustic model. Lexicon preparation has also been given due care so that all the phones of Punjabi ... See full document

... In ―Summarizing text by ranking text units according to shallow linguistic features‖ [5], this approach identifying the most important sentences from given input text using shallow linguistic features. They have ... See full document

... text summarization, most of this work has been concerned with the summarization of short doc- uments, with a particular focus on news ...different summarization techniques are ...the ... See full document

... Structured based approach improves the quality of summaries. All most all approaches produces abstract, relevant, information rich and less redundant summary. Only lead and body phrase me thod produces summary ... See full document

... To generate labels from the X-means clusters we could have followed the same approach as de- scribed in Section 4.3, namely picking up a term that is shared by all or majority of the salient sen- tences within a ... See full document

... Abstract :- The massive quantity of data available today on the Internet has reached unforeseen volumes; thus, it is humanly unfeasible to efficiently sieve useful information from it. New information is continuously ... See full document

... text summarization has focused on extractive summarization, which forms summary by selection of important sentences from the ...documents[11]. Statistical methods are often used to find key words and ... See full document