Speech recognition using randomized relational decision trees

IEEE Transactions on Speech and Audio Processing

Volumn 9, Issue 4, 2001, Pages 333-341

  Amit, Yali ^a   Murua, Alejandro ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Classification; Decision trees; Labeled graphs; Spectogram; Speech recognition

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; ALGORITHMS; DECISION THEORY; MARKOV PROCESSES; PROBABILITY; SPEECH ANALYSIS;

DECISION TREES; HIDDEN MRKOV MODELS (HMM); SPEECH SIGNALS;

SPEECH RECOGNITION;

EID: 0035339798     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.917679     Document Type: Article

References (18)

1. Shape quantization and recognition with randomized trees
2. Joint induction of shape features and tree classifiers
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4. Classification and clustering of stop consonants via nonparametric transformations and wavelets
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6. Applying large vocabulary hybrid HMM-MLP methods to telephone recognition of digits and natural numbers
7. Incorporating voice onset time to improve letter recognition accuracies
8. Distinctive features detection using support vector machines
9. Induction of decision trees
10. Entropy and distance of random graphs with application to structural pattern recognition
11. Speech recognition using neural networks with backward-forward probability generated targets
12. Subdivision of the audible frequency range into critical bands (Frequenzgruppen)