Rabiul Islam, Md. Sohrab Mahmud, Md. Fayzur Rahman

Vector Quantization based Speech Recognition System

Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients

• Broschiertes Buch

Produktbeschreibung

Automatic Speech Recognition (ASR) has progressed considerably over the past several decades, but still has not achieved the potential imagined at its very beginning. Almost all of the existing applications of ASR systems are PC based. This work is an attempt to develop a speech recognition system that is independent of any PC support and is small enough in size to be used in a daily use consumer appliance. The proposed system would recognize isolated word utterances from a limited vocabulary, provide speaker independence, require less memory and be cost-efficient compared to present ASR systems. In this system, isolated word recognition is performed by using Vector Quantization (VQ) and Mel-Frequency Cepstral Coefficient (MFCC). The final system has been implemented on a vero board with an ATMEGA32 microcontroller. Learning and recognition algorithm have been used to recognize the speech utterances.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 80
• Erscheinungstermin: 4. Juni 2010
• Englisch
• Abmessung: 220mm x 150mm x 5mm
• Gewicht: 125g
• ISBN-13: 9783838368917
• ISBN-10: 3838368916
• Artikelnr.: 30179200

Autorenporträt

Md. Rabiul Islam was born in Khulna, a southern city of Bangladesh. He has completed his post graduation in Sociology from Khulna University, Bangladesh. At present he is working as Research Assistant in Transparency International Bangladesh.He desires to continue his research on different social issues like poverty, gender and social development.