Malayalam is one of the 22 scheduled languages in India with
more than 130 million speakers. This paper presents a report on
the development of a speaker independent, continuous
transcription system for Malayalam. The system employs
Hidden Markov Model (HMM) for acoustic modeling and Mel
Frequency Cepstral Coefficient (MFCC) for feature extraction.
It is trained with 21 male and female speakers in the age group
ranging from 20 to 40 years. The system obtained a word
recognition accuracy of 87.4% and a sentence recognition
accuracy of 84%, when tested with a set of continuous speech
data.
Description:
International Journal of Computer Applications (0975 – 8887)
Volume 19– No.5, April 2011
Kannan, Balakrishnan; Harsha, K M; Facila Chinchu, O; Cini, Kurian(February 9, 2013)
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Abstract:
A primary medium for the human beings to communicate through language is Speech. Automatic Speech Recognition is wide spread today. Recognizing single digits is vital to a number of applications such as voice dialling of telephone numbers, automatic data entry, credit card entry, PIN (personal identification number) entry, entry of access codes for transactions, etc. In this paper we present a comparative study of SVM (Support Vector Machine) and HMM (Hidden Markov Model) to recognize and identify the digits used in Malayalam speech.
Development of Malayalam speech recognition system is in its infancy stage; although many works have
been done in other Indian languages. In this paper we present the first work on speaker independent
Malayalam isolated speech recognizer based on PLP (Perceptual Linear Predictive) Cepstral Coefficient
and Hidden Markov Model (HMM). The performance of the developed system has been evaluated with
different number of states of HMM (Hidden Markov Model). The system is trained with 21 male and
female speakers in the age group ranging from 19 to 41 years. The system obtained an accuracy of 99.5%
with the unseen data
Description:
International Journal of Advanced Information Technology (IJAIT) Vol. 1, No.5, October 2011