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Spoken Language detection is the process of either accepting or rejecting a language identity from its sample speech. The process is essential as it represents the first phase for a complete multilingual-enabled speech processing applications. However, most efforts are focused on European languages and the research is relatively few for other languages such as Arabic. This is mainly due to the lack...
This paper describes an efficient framework for designing and developing Arabic speaker-independent continuous automatic speech recognition systems based on a phonetically rich and balanced speech corpus. The speech corpus contains 415 sentences recorded by 42 (21 male and 21 female) Arabic native speakers from 11 Arab countries representing three major regions (Levant, Gulf, and Africa). The developed...
This paper introduces a speech recognition system of Mandarin continuous digits based on Sphinx. The acoustic model of this system is produced by SphinxTrain, and the language model is acquired from the Cmuclmtk statistical language model. In addition, this system makes use of PocketSphinx recognition engine as a decoder. According to the experiment, the correct rate of this system to a sentence of...
From statistical learning theory, the generalization capability of a model is the ability to generalize well on unseen test data which follow the same distribution as the training data. This paper investigates how generalization capability can also improve robustness when testing and training data are from different distributions in the context of speech recognition. Two discriminative training (DT)...
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