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» Canonical state models for automatic speech recognition
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ISCAS
2006
IEEE
162views Hardware» more  ISCAS 2006»
15 years 3 months ago
Silicon neurons that phase-lock
Abstract—We present a silicon neuron with a dynamic, active leak that enables precise spike-timing with respect to a time-varying input signal. Our neuron models the mammalian bu...
J. H. Wittig Jr., Kwabena Boahen
ICMCS
2006
IEEE
187views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Combined Gesture-Speech Analysis and Speech Driven Gesture Synthesis
Multimodal speech and speaker modeling and recognition are widely accepted as vital aspects of state of the art human-machine interaction systems. While correlations between speec...
Mehmet Emre Sargin, Oya Aran, Alexey Karpov, Ferda...
ICASSP
2010
IEEE
14 years 10 months ago
Improved statistical models for SMT-based speaking style transformation
Automatic speech recognition (ASR) results contain not only ASR errors, but also disfluencies and colloquial expressions that must be corrected to create readable transcripts. We...
Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya ...
ACL
2000
14 years 11 months ago
Spoken Dialogue Management Using Probabilistic Reasoning
Spoken dialogue managers have benefited from using stochastic planners such as Markov Decision Processes (MDPs). However, so far, MDPs do not handle well noisy and ambiguous speec...
Nicholas Roy, Joelle Pineau, Sebastian Thrun
ALT
2005
Springer
15 years 6 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg