Sciweavers

45 search results - page 8 / 9
» Multi-feature Error Detection in Spoken Dialogue Systems
Sort
View
LREC
2008
153views Education» more  LREC 2008»
13 years 9 months 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...
NAACL
1994
13 years 8 months ago
Assessing the Retrieval Effectiveness of a Speech : Retrieval System by Simulating Recognition Errors
We show how the recognition performance of a speech recognition component in a speech retrieval system affects the retrieval effectiveness. A speech retrieval system facilitates c...
Peter Schäuble, Ulrike Glavitsch
ICASSP
2008
IEEE
14 years 1 months ago
Learning with noisy supervision for Spoken Language Understanding
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
Christian Raymond, G. Riccardfi
ICASSP
2011
IEEE
12 years 11 months ago
Online detection of vocal Listener Responses with maximum latency constraints
When human listeners utter Listener Responses (e.g. back-channels or acknowledgments) such as ‘yeah’ and ‘mmhmm’, interlocutors commonly continue to speak or resume their ...
Daniel Neiberg, Khiet P. Truong
ANLP
2000
109views more  ANLP 2000»
13 years 8 months ago
Predicting Automatic Speech Recognition Performance Using Prosodic Cues
In spoken dialogue systems, it is important for a system to know how likely a speech recognition hypothesis is to be correct, so it can reprompt for fresh input, or, in cases wher...
Diane J. Litman, Julia Hirschberg, Marc Swerts