DocumentCode :
1803075
Title :
Pashto Spoken Digits database for the automatic speech recognition research
Author :
Abbas, Arbab Waseem ; Ahmad, Nafees ; Ali, Hamza
Author_Institution :
Dept. of Comput. Syst. Eng., Univ. of Eng. & Technol., Peshawar, Pakistan
fYear :
2012
fDate :
7-8 Sept. 2012
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents the development of a Pashto Spoken Digits database for the automatic speech recognition research. This is, to the best of author´s knowledge, the first Pashto isolated digits database. The database consists of Pashto digits from zero (sefer) to hundred (sul) uttered by sixty speakers, 30 male and 30 female. The speakers included are having ages, ranging from 18 to 60 years. The recordings are performed in a noise-free environment using Sony PCM-M 10 Linear Recorder. The audio is stored in .wav format and transferred to the laptop via an usb cable. After editing, the audio is split into individual digits using Adobe Audition ver. 1.0. The isolated digit recognition experiments are then performed on a subset of the database containing first 11 digits and 18 speakers. Mel Frequency Cepstral Coefficients (MFCC) were used as the feature vector while Linear Discriminent Analysis (LDA) based classifier was used for the classification.
Keywords :
audio databases; cepstral analysis; feature extraction; natural language processing; pattern classification; speech recognition; .wav format; Adobe Audition ver. 1.0; LDA based classifier; MFCC; Mel frequency cepstral coefficients; Pashto isolated digits database; Pashto spoken digits database; Sony PCM-M 10 Linear Recorder; USB cable; audio editing; automatic speech recognition research; feature vector; linear discriminant analysis; noise-free environment; Automatic speech recognition; Databases; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Training; Pashto acoustic database and Pashto islotated word database; Pashto speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Computing (ICAC), 2012 18th International Conference on
Conference_Location :
Loughborough
Print_ISBN :
978-1-4673-1722-1
Type :
conf
Filename :
6330527
Link To Document :
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