Sciweavers

EMNLP
2010
13 years 9 months ago
Better Punctuation Prediction with Dynamic Conditional Random Fields
This paper focuses on the task of inserting punctuation symbols into transcribed conversational speech texts, without relying on prosodic cues. We investigate limitations associat...
Wei Lu, Hwee Tou Ng
NAACL
2007
14 years 29 days ago
To Memorize or to Predict: Prominence labeling in Conversational Speech
The immense prosodic variation of natural conversational speech makes it challenging to predict which words are prosodically prominent in this genre. In this paper, we examine a n...
Ani Nenkova, Jason Brenier, Anubha Kothari, Sasha ...
LREC
2008
172views Education» more  LREC 2008»
14 years 29 days ago
CallSurf: Automatic Transcription, Indexing and Structuration of Call Center Conversational Speech for Knowledge Extraction and
Being the client's first interface, call centres worldwide contain a huge amount of information of all kind under the form of conversational speech. If accessible, this infor...
Martine Garnier-Rizet, Gilles Adda, Frederik Caill...
LREC
2008
153views Education» more  LREC 2008»
14 years 29 days ago
Automatic Rich Annotation of Large Corpus of Conversational transcribed speech: the Chunking Task of the EPAC Project
This paper describes the use of the CasSys platform in order to achieve the chunking of conversational speech transcripts by means of cascades of Unitex transducers. Our system is...
Jean-Yves Antoine, Abdenour Mokrane, Nathalie Frib...
LREC
2008
121views Education» more  LREC 2008»
14 years 29 days ago
The IFADV Corpus: a Free Dialog Video Corpus
Research into spoken language has become more visual over the years. Both fundamental and applied research have progressively included gestures, gaze, and facial expression. Corpo...
Rob van Son, Wieneke Wesseling, Eric Sanders, Henk...
MLMI
2007
Springer
14 years 5 months ago
Automatic Labeling Inconsistencies Detection and Correction for Sentence Unit Segmentation in Conversational Speech
In conversational speech, irregularities in the speech such as overlaps and disruptions make it difficult to decide what is a sentence. Thus, despite very precise guidelines on how...
Sébastien Cuendet, Dilek Z. Hakkani-Tü...
ICASSP
2009
IEEE
14 years 6 months ago
Filtering web text to match target genres
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M...