Punctuation Annotation using Statistical Prosody Models

Automatic Punctuation Annotation in Czech Broadcast News Speech

This paper reports our initial experiments with automatic punctuation annotation from speech. We have focused on Czech broadcast news speech. The task can be defined as a classification of each inter-word boundary into one of target classes. We considered comma, sentence boundary and “no punctuation” as the target classes. We employed two statistical models – prosodic model and language model. ...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Sentence-Internal Prosody Does not Help Parsing the Way Punctuation Does

This paper investigates the usefulness of sentence-internal prosodic cues in syntactic parsing of transcribed speech. Intuitively, prosodic cues would seem to provide much the same information in speech as punctuation does in text, so we tried to incorporate them into our parser in much the same way as punctuation is. We compared the accuracy of a statistical parser on the LDC Switchboard treeb...

Text punctuation and prosody in Greek

A production experiment was carried out, in order to investigate text punctuation, including standard as well as ungrammatical (communicative) punctuation marks, and prosody relations. It is shown that punctuation is directly related to the duration of pauses, leading to the following structure: question mark>exclamation mark>full stop> colon>comma> ellipsis. Pitch resetting occurs in all cases...

A Phonological Phrase Sequence Modelling Approach for Resource Efficient and Robust Real-Time Punctuation Recovery

For the automatic punctuation of Automatic Speech Recognition (ASR) output, both prosodic and text based features are used, often in combination. Pure prosody based approaches usually have low computation needs, introduce little latency (delay) and they are also more robust to ASR errors. Text based approaches usually yield better performance, they are however resource demanding (both regarding...