Method and apparatus for generating acoustic models for...

Details Method and apparatus for generating acoustic models for... Method and apparatus for generating acoustic models for...

2004-03-04

2008-08-19

Abebe, Daniel D (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S008000, C704S010000, C704S243000

Reexamination Certificate

active

07415411

ABSTRACT:
Acoustic models for speech recognition are automatically generated utilizing trained acoustic models from a native language and a foreign language. A phoneme-to-phoneme mapping is utilized to enable the description of foreign language words with native language phonemes. The phoneme-to-phoneme mapping is used for training foreign language words, described by native language phonemes on foreign language speech material. A new phonetic lexicon is created containing foreign language words and native language words transcribed by native language phonemes. Robust native language acoustic models can be derived utilizing foreign language and native language training material. The mapping may be used for training a grapheme to phoneme transducer (i.e., foreign language to native language) to generate native language pronunciations for new foreign language words.

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patent: 2003/0050779 (2003-03-01), Riis et al.
patent: 2005/0033575 (2005-02-01), Schneider
patent: 2007/0118377 (2007-05-01), Badino et al.
Georg Stemmer, Elmar Noth, Heinrich Niemann, “Acoustic Modeling of Foreign Words in a German Speech Recognition System”, Eurospeech 2001—Scandinavia, 4 pages, University of Erlangen-Nurnberg, Chair for Pattern Recognition, Erlangen, Germany.
Helen M. Meg, Wai-Kit Lo, Berlin Chen, Karen Tang, “Generating Phonetic Cognates to Handle Named Entities in English-Chinese Cross-Language Spoken Document Retrieval”, 4 pages, The Chinese University of Hong Kong, National Taiwan University, Princeton University.
“Sampa speech assessment methods phonetic alphabet”, SAMPA computer readable phonetic alphabet, 2 pages.

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