Speaker-Independent Speech Recognition Using Acoustic Images Based On The TDRC
نویسندگان
چکیده
Conventional cepstrums are one-dimensional, however speech characteristics are represented better by an acoustic image, a two-dimensional feature representation. In this paper, acoustic images based on two-dimensional root cepstrum (TDRC) are used as features for speaker-independent speech recognition. The TDRC is a method of feature extraction which has some advantages over other methods. The result of using acoustic images is compared to the performance of a conventional cepstrum.The experiments on isolated word recognition using TIMIT data base show promising results. The results demonstrate that the proposed method increased the recognition accuracy of a speakerindependent system significantly when compared to the conventional cepstrum.
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