ACL RD-TEC 1.0 Summarization of W96-0204
Paper Title:
MODELING CONVERSATIONAL SPEECH FOR SPEECH RECOGNITION
MODELING CONVERSATIONAL SPEECH FOR SPEECH RECOGNITION
Authors: Marie Meteer and Rukmini Iyer
Primarily assigned technology terms:
- algorithm
- capitalization
- classification
- computing
- discourse marker
- editing
- htk toolkit
- hypothesizing
- language modeling
- modeling
- n-best rescoring
- ranking
- recognition
- recognition system
- recognizer
- repair
- rescoring
- scoring
- search
- segmentation
- smoothing
- speech recognition
- speech recognition system
- speech recognizer
- transcription
Other assigned terms:
- acoustic information
- acoustic model
- acoustic signal
- annotation
- annotators
- boundary information
- case
- conversation
- conversational speech
- conversational text
- corpora
- data sets
- dialog
- discourse
- discourse markers
- distribution
- error rate
- fact
- formalism
- function words
- heuristic
- hypotheses
- hypothesis
- information structure
- knowledge
- language model
- language model performance
- language models
- lattice
- lattices
- lexical items
- likelihood
- linguistic
- linguistics
- main verb
- meaning
- method
- mixture models
- model performance
- n-best list
- n-gram
- n-gram language model
- noise
- noun phrases
- occurrence frequency
- opinion
- part of speech
- pause
- pauses
- perplexity
- phrase
- phrase structure
- process
- pronouns
- punctuation
- relative clause
- segment boundaries
- segment boundary
- segments
- semantic
- semantic content
- sentence
- sentence boundaries
- sentence boundary
- sentences
- signal
- speech signal
- switchboard corpus
- syntactic structures
- technique
- term
- terms
- test data
- test set
- testing data
- text
- theories
- toolkit
- training
- training and test data
- training and testing data
- training data
- transcripts
- trigram
- utterance
- verb
- verb group
- vocabulary
- word
- word error rate
- words
