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Development of a proper names pronunciation lexicon is usually a manualeffort which can not be avoided. Grapheme to phoneme (G2P) conversion modules,in literature, are usually rule based and work best for non-proper names in aparticular language. Proper names are foreign to a G2P module. We follow anoptimization approach to enable automatic construction of proper namespronunciation lexicon. The idea is to construct a small orthogonal set of words(basis) which can span the set of names in a given database. We propose twoalgorithms for the construction of this basis. The transcription lexicon of allthe proper names in a database can be produced by the manual transcription ofonly the small set of basis words. We first construct a cost function and showthat the minimization of the cost function results in a basis. We deriveconditions for convergence of this cost function and validate themexperimentally on a very large proper name database. Experiments show thetranscription can be achieved by transcribing a set of small number of basiswords. The algorithms proposed are generic and independent of language; howeverperformance is better if the proper names have same origin, namely, samelanguage or geographical region.

Basis Identification for Automatic Creation of Pronunciation Lexicon for Proper Names