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This paper presents a rule-based approach for generating a large phonetic database for Romanian. The knowledge base is developed by means of the GRAALAN (Grammar Abstract Language) system. By inspecting dictionaries and corpora, we generate a phonetic database over 100,000 lemmas. Our database has a high degree of accuracy ensured by our rule-based method applied for generating phonetic transcriptions.
The aim of this work is to provide some insights regarding the effort of building a representative and wide coverage audio base of syllables for Romanian. The audio base comprises audio recordings of syllables extracted from the following types of syllable embedding: isolated-syllable, isolated-word and continuous speech. The list of syllables has been computed over the syllabified form of single-word...
In this paper we have focused on designing and collecting an infant crying database. The data have been collected using an in-house developed acquisition system. The study has involved 136 infants aged between 0 and 3 months. Seven types of cries have been collected: hunger, pain, eructation, tiredness, discomfort, colic and pathology. Some of the data (about 750 audio/video recordings meaning about...
This paper presents methods for automatic generation of phonetic databases (The Morphological and Phonetic Dictionary, The Phonetic Dictionary of Syllables, The Rhyming Dictionary) for a natural language, starting from a set of linguistic knowledge bases. The knowledge bases are developed by means of the GRAALAN (Grammar Abstract Language) system. The exemplification of this process will be described...
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