09-11-2012, 02:19 PM
Automatic voicemail summarizer
Introduction
This aticle presents trainable methods for extracting principal content words from voicemail messages. The short text summaries generated are suitable for mobile messaging applications. The system uses a set of classifiers to identify the summary words with each word described by a vector of lexical and prosodic features. We use an ROC-based algorithm, Parcel, to select input features (and classifiers).
Main Title
1.Primary Classification
2.Additional Classification
3.Computing Methodologies
Advantages
1.they provide condensed version of the original message for rapid digestion and indexing of information contain therein.
2.better message management.
3.lower cost while roaming abroad.
Disadvantages
1.access the vast volume of background knowledge that is needed to interpret a random spoken message.
2.make it instantly and securely available to its recipint.
Applications
1.design an architecture that overcomes the limitations of existing voicemail retrieval paradrim.
2.impliment a compact ASR system with competitive performance. Investigate ways to increase its recognition accuracy.