ACL RD-TEC 1.0 Summarization of N03-2031
Paper Title:
AUDITORY-BASED ACOUSTIC DISTINCTIVE FEATURES AND SPECTRAL CUES FOR ROBUST AUTOMATIC SPEECH RECOGNITION IN LOW-SNR CAR ENVIRONMENTS
AUDITORY-BASED ACOUSTIC DISTINCTIVE FEATURES AND SPECTRAL CUES FOR ROBUST AUTOMATIC SPEECH RECOGNITION IN LOW-SNR CAR ENVIRONMENTS
Authors: Sid-Ahmed Selouani and Hesham Tolba and Douglas O'Shaughnessy
Primarily assigned technology terms:
- algorithm
- automatic speech recognition
- bandpass filter
- database
- encoding
- hidden markov
- hidden markov models
- hmm system
- hmms
- lpc analysis
- matching
- pattern matching
- peak picking
- processing
- reading
- recognition
- recognition platform
- recognition process
- recognition systems
- recognizer
- sampling
- speech recognition
- speech recognition systems
- transduction
- word recognition
Other assigned terms:
- approach
- auditory model
- case
- distribution
- feature
- feature vector
- frame
- gaussian mixture
- knowledge
- markov models
- noise
- noisy speech
- probability
- process
- recognition rate
- recognition task
- sentences
- signal
- signal energy
- sources of information
- speech input
- speech representation
- speech signal
- statistical framework
- timit corpus
- timit database
- toolkit
- training
- training material
- triphone
- utterance
- vocabulary
- word
