Automatic Speech Recognition in Intelligence Communication

Abstract

Automatic Speech Recognition is considered as an information transmission system in relation to intelligence communication. The channel performances and characteristics for such a system are examined. Various acoustic parameters and their variabilities are discussed in reference to the channel characteristics. The feasibility of such a system is also examined.

Indexing Terms:

• Automatic Speech Recognition (ASR)
• Intelligence Communication
• Acoustic Phonetic Parameters
• Vowels
• Consonants
• Phonemes

Additional information

Notes on contributors

A.K. Datta

Datta, AK: Born in 1935, Shri A. K. Datta graduated with honours in Physics from the Calcutta University in 1955. He joined the Indian Statistical Institute in 1955. He received the MSc degree of the Calcutta University in Pure Mathematics in 1963. He is at present working as an Associate Professor in the Indian Statistical Institute.

He worked in the field of accounting machines, computer memory, and computer hardware before taking up pattern recognition. His present research activities include speech acoustics, speech pattern recognition, hand written character recognition and robotics.

N.R. Ganguli

Ganguli, N R: Born in 1939, Shri N.R. Ganguli received the Engineer's degree in Telecommunication Engineering from Jadavpur University in 1961. Since 1962 he has been working in the Indian Statistical Institute. He is at present a Senior Lecturer of the Electronics and Communication Sciences Unit of the Institute.

From 1962 to 1968, he was engaged in the development of computer in the ISIJU (Indian Statistical Institute and Jadavpur University) computer project. His current research interests include speech analysis, synthesis and recognition.

Siri Ganguli is a member of the Computer Society of India.