• Skip to primary navigation
  • Skip to main content
SRI logo
  • About
    • Press room
    • Our history
  • Expertise
    • Advanced imaging systems
    • Artificial intelligence
    • Biomedical R&D services
    • Biomedical sciences
    • Computer vision
    • Cyber & formal methods
    • Education and learning
    • Innovation strategy and policy
    • National security
    • Ocean & space
    • Quantum
    • Robotics, sensors & devices
    • Speech & natural language
    • Video test & measurement
  • Ventures
  • NSIC
  • Careers
  • Contact
  • 日本支社
Search
Close
Speech & natural language publications September 1, 2002

Automatic Punctuation and Disfluency Detection in Multi-Party Meetings Using Prosodic and Lexical Cues

Citation

Copy to clipboard


Baron, D., Shriberg, E., & Stolcke, A. (2002). Automatic punctuation and disfluency detection in multi-party meetings using prosodic and lexical cues. In Seventh International Conference on Spoken Language Processing.

Abstract

We investigate automatic approaches to finding “hidden” spontaneous speech events, such as sentence boundaries and disfluencies, in multi-party meetings. Hidden events are characterized prosodically by a large array of automatically extracted energy, duration, and pitch features, and are modeled by decision tree classifiers; lexical cues are modeled by N-gram language models. Both sources of information are combined in a hidden Markov model framework. Results show that combined classifiers achieve higher accuracy than either single knowledge source alone. We also study classifiers that use only the preceding context for predicting events, simulating online processing. We find that prosodic features are more robust than are language model features to this constraint. Finally, we examine the effect of automatic word recognition errors, in both training and testing, on classification accuracy. We find that lexical models degrade much more severely than do prosodic models in this case, again showing the relative robustness of prosodic information for hidden-event detection in natural conversation.

↓ Download

Share this

How can we help?

Once you hit send…

We’ll match your inquiry to the person who can best help you.

Expect a response within 48 hours.

Career call to action image

Make your own mark.

Search jobs

Our work

Case studies

Publications

Timeline of innovation

Areas of expertise

Institute

Leadership

Press room

Media inquiries

Compliance

Careers

Job listings

Contact

SRI Ventures

Our locations

Headquarters

333 Ravenswood Ave
Menlo Park, CA 94025 USA

+1 (650) 859-2000

Subscribe to our newsletter


日本支社
SRI International
  • Contact us
  • Privacy Policy
  • Cookies
  • DMCA
  • Copyright © 2023 SRI International
Manage Cookie Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
Manage options Manage services Manage vendors Read more about these purposes
View preferences
{title} {title} {title}