论文信息 - Altuzay Snflama ile Sesbirim Temelli Türkçe Yaltk Kelime Tanma Phonem-Based Isolated Turkish Word Recognition With

Altuzay Snflama ile Sesbirim Temelli Türkçe Yaltk Kelime Tanma Phonem-Based Isolated Turkish Word Recognition With

In this study, phoneme-based isolated Turkish word recognition with Common Vector Approach (CVA) has been performed. CVA has been used to classify phonemes. The phoneme sequence obtained from the classification is decoded into the word using redundant hash addressing (RHA). The phoneme-based speech recognition is more suitable than the word-based speech recognition for implementing applications that use different words in their dictionaries. For that reason, in this study the CVA is evaluated to see whether it could be used in phoneme-based word recognition or not. In the experimental study we obtained the word recognition rates 7080% from randomly selected words in METU database. It might be possible to obtain higher recognition rates by improving the CVA and by using different word decoding techniques.

Serkan Keser | Rifat Edizkan

[1] M. Bilginer Gülmezoglu,et al. A novel approach to isolated word recognition , 1999, IEEE Trans. Speech Audio Process..

[2] M. Bilginer Gülmezoglu,et al. The common vector approach and its relation to principal component analysis , 2001, IEEE Trans. Speech Audio Process..

[3] M. Bilginer Gülmezoglu,et al. The common vector approach and its comparison with other subspace methods in case of sufficient data , 2007, Comput. Speech Lang..

[4] Erkki Reuhkala,et al. A redundant hash addressing method adapted for the postprocessing and error-correction of computer recognized speech , 1979, ICASSP.