Acoustic Phonetic Decoding Oriented to Multilingual Speech Recognition in the Basque Context
نویسندگان
چکیده
The development of Large Vocabulary Continuous Speech Recognition systems involves issues as: Acoustic Phonetic Decoding, Language Modelling or the development of appropriated Language Resources. In the state of the art, new techniques for reusing Language Resources of more resourced related languages is becoming of great interest, and there is also a growing interest on Multilingual systems. This paper describes the initial experiments on multilingual recognition and cross-lingual adaptation carried out in order to create a robust Multilingual Speech Recognition system for the Basque context. The interest on Multilingual Systems arouses because there are three official languages in the Basque Country (Basque, Spanish, and French), and there is much linguistic interaction among them, even if Basque has very different roots than the other two languages.
منابع مشابه
Language Identification for Under-Resourced Languages in the Basque Context
Automatic Speech Recognition (ASR) is a broad research area that absorbs many efforts from the research community. The interest on Multilingual Systems arouses in the Basque Country because there are three official languages (Basque, Spanish, and French), and there is much linguistic interaction among them, even if Basque has very different roots than the other two languages. The development of...
متن کاملEvaluation of a Spoken Phonetic Database in Basque Language
In this paper we present the evaluation of a spoken phonetic corpus designed to train acoustic models for Speech Recognition applications in Basque Language. A complete set of acoustic-phonetic decoding experiments was carried out over the proposed database. Context dependent and independent phoneme units were used in these experiments with two different approaches to acoustic modeling, namely ...
متن کاملCross-Lingual Approaches: The Basque Case
Cross-lingual speech recognition could be relevant for Multilingual Automatic Speech Recognition (ASR) systems which work with under-resourced languages and appropriately equipped languages. In the Basque Country, the interest on Multilingual Automatic Speech Recognition systems comes from the fact that there are three official languages in use (Basque, Spanish, and French). . Multilingual Basq...
متن کاملLearning Methods in Multilingual Speech Recognition
One key issue in developing learning methods for multilingual acoustic modeling in large vocabulary automatic speech recognition (ASR) applications is to maximize the benefit of boosting the acoustic training data from multiple source languages while minimizing the negative effects of data impurity arising from language “mismatch”. In this paper, we introduce two learning methods, semiautomatic...
متن کاملAllophone-based acoustic modeling for Persian phoneme recognition
Phoneme recognition is one of the fundamental phases of automatic speech recognition. Coarticulation which refers to the integration of sounds, is one of the important obstacles in phoneme recognition. In other words, each phone is influenced and changed by the characteristics of its neighbor phones, and coarticulation is responsible for most of these changes. The idea of modeling the effects o...
متن کامل