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EMNLP
2004
14 years 11 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
ICASSP
2008
IEEE
15 years 4 months ago
Text-independent voice conversion based on state mapped codebook
Voice conversion has become more and more important in speech technology, but most of current works have to use parallel utterances of both source and target speaker as the traini...
Meng Zhang, Jianhua Tao, Jilei Tian, Xia Wang
AAAI
2010
14 years 11 months ago
Representation Discovery in Sequential Decision Making
Automatically constructing novel representations of tasks from analysis of state spaces is a longstanding fundamental challenge in AI. I review recent progress on this problem for...
Sridhar Mahadevan
NIPS
2004
14 years 11 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle