Bhuvana Ramabhadran, Jing Huang, et al.
INTERSPEECH - Eurospeech 2003
In this paper we develop a maximum-entropy based method for annotating spontaneous conversational speech with punctuation. The goal of this task is to make automatic transcriptions more readable by humans, and to render them into a form that is useful for subsequent natural language processing and discourse analysis. Our basic approach is to view the insertion of punctuation as a form of tagging, in which words are tagged with appropriate punctuation, and to apply a maximum entropy tagger that uses both lexical and prosodic features. We present experimental results on Switchboard data with both reference transcriptions and transcriptions produced by a speech recognition system.
Bhuvana Ramabhadran, Jing Huang, et al.
INTERSPEECH - Eurospeech 2003
Wael Hamza, Robert Donovan
ICSLP 2002
Hakan Erdogan, Ruhi Sarikaya, et al.
ICSLP 2002
Jennifer C. Lai, Kwan Min Lee
ICSLP 2002