منابع مشابه
Using a Telephony Saudi Accented Arabic Corpus in Automatic Recognition of Spoken Arabic Digits
In this research, spoken Arabic digits are investigated from the speech recognition problem point of view. The system is designed to recognize an isolated whole-word speech. In the training and testing phase of this system, isolated digits data sets are taken from the telephony Arabic speech corpus, SAAVB. This standard corpus was developed by KACST and it is classified as a noisy speech databa...
متن کاملSpeech Recognition System of Arabic Digits based on A Telephony Arabic Corpus
Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applications such as speech based telephone dialing, airline reservation, automatic directory to retrieve or send information, etc. These applications take numbers and alphabets as input. Arabic language is a Semitic language tha...
متن کاملNeighboring Digits Pattern Training Method in Quickly-spoken Connected Mandarin Digits Speech Recognition
Deletion errors are most usually occurred in connected Mandarin digit string speech recognition when speaking rate is fast, and are the main reasons leading to the increasing of the recognition error rate and the decline of the recognition accuracy. In this paper, a new training method named neighboring digits pattern is given based on sufficient statistics of recognition errors of the traditio...
متن کاملA New Step in Arabic Speech Identification: Spoken Digit Recognition
This work presents a new Algorithm to recognize separate voices of some Arabic words, the digits form zero to ten. Firstly we prepare our signal by pre-processing trial. Next the speech signal is processed as an image by Power Spectrum Estimation. For feature extraction, transformation and hence recognition, the algorithm of minimal eigenvalues of Toeplitz matrices together with other methods o...
متن کاملComparison of Parameterization Methods in Recognizing Spoken Arabic Digits
This paper proposes evaluation of sound parameterization methods in recognizing some spoken Arabic words, namely digits from zero to nine. Each isolated spoken word is represented by a single template based on a specific recognition feature, and the recognition is based on the Euclidean distance from those templates. The performance analysis of recognition is based on four parameterization feat...
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ژورنال
عنوان ژورنال: Conference Papers in Engineering
سال: 2013
ISSN: 2314-5366
DOI: 10.1155/2013/130473