ACL RD-TEC 1.0 Summarization of H92-1057
Paper Title:
EXPERIMENTAL RESULTS FOR BASELINE SPEECH RECOGNITION PERFORMANCE USING INPUT ACQUIRED FROM A LINEAR MICROPHONE ARRAY
EXPERIMENTAL RESULTS FOR BASELINE SPEECH RECOGNITION PERFORMANCE USING INPUT ACQUIRED FROM A LINEAR MICROPHONE ARRAY
Authors: Harvey F. Silverman and Smart E. Kirtman and John E. Adcock and Paul C. Meuse
Primarily assigned technology terms:
- data acquisition
- data collection
- data conversion
- data development
- data-acquisition
- database
- deconvolution
- hardware
- hidden markov
- hidden markov model
- hidden markov models
- hmm-based alphadigit recognizer
- k-means
- linear microphone array
- markov model
- microphone array
- modeling
- phoneme recognizer
- processing
- recognition
- recognition system
- recognizer
- remote microphone
- sampling
- signal processing
- speech recognition
- speech recognition system
- speech recognizer
- speech-recognition
- talker-independent speech recognition
- training procedure
- transducer
Other assigned terms:
- alphabet
- approach
- array
- background noise
- baseline performance
- beam
- case
- cpu time
- device
- disk
- distribution
- experimental results
- feature
- feature vector
- grammar
- language model
- markov models
- measure
- mechanisms
- method
- methodology
- model parameters
- noise
- phoneme
- probabilities
- procedure
- process
- signal
- signal-to-noise ratio
- speech data
- speech database
- speech recognition performance
- statistics
- technology
- terms
- testing data
- training
- training set
- training time
- utterance
- vocabulary
- white noise
- word
