Publications associées (5)

Integrated Pronunciation Learning for Automatic Speech Recognition Using Probabilistic Lexical Modeling

Ramya Rasipuram, Marzieh Razavi

Standard automatic speech recognition (ASR) systems use phoneme-based pronunciation lexicon prepared by linguistic experts. When the hand crafted pronunciations fail to cover the vocabulary of a new domain, a grapheme-to-phoneme (G2P) converter is used to ...
2015

Capabilities for Uniqueness and Borrowing

Martin Odersky, Philipp Haller

An important application of unique object references is safe and efficient message passing in concurrent object-oriented programming. However, to prevent the ill effects of aliasing, practical systems often severely restrict the shape of messages passed by ...
Springer2010

Capabilities for Uniqueness and Borrowing

Martin Odersky, Philipp Haller

An important application of unique object references is safe and efficient message passing in concurrent object-oriented programming. However, to prevent the ill effects of aliasing, practical systems often severely restrict the shape of messages passed by ...
2009

Linguistic contamination: an epistemological tool for interrogating vernacular tradition and contemporary architecture

Paola Tosolini

In 1919 in an essay entitled Tradition and the Individual Talent T. S. Eliot stated that a poet “is not likely to know what is to be done unless he lives in what is not merely the present, but the present moment of the past, unless he is conscious, not of ...
IASTE Center for Environmental Design Research2008

Identifying unexpected words using in-context and out-of-context phoneme posteriors

Hynek Hermansky, Hamed Ketabdar

The paper proposes and discusses a machine approach for identification of unexpected (zero or low probability) words. The approach is based on use of two parallel recognition channels, one channel employing sensory information from the speech signal togeth ...
IDIAP2006

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