Title :
Joint Discriminative Language Modeling and Utterance Classification
Author :
Saraclar, Murat ; Roark, Brian
Author_Institution :
AT&T Labs.-Res., USA
fDate :
March 18-23, 2005
Keywords :
classification; error statistics; finite automata; natural languages; optimisation; perceptrons; speech recognition; ASR transcription errors; WER reduction; class feature weight optimization; classification error rate; discriminative language modeling; feature set parameter update methods; joint language/class model training; large vocabulary customer service call-classification; n-gram features; perceptron algorithm; utterance classification errors; weighted finite-state automata; word lattices; Automata; Automatic speech recognition; Customer service; Data mining; Error analysis; Lattices; Natural languages; Performance evaluation; System performance; Vocabulary;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415175