Real Time Challenges to Handle the Telephonic Speech Recognition System

Abstract

Present paper describes the real time challenges to design the telephonic Automatic Speech Recognition (ASR) System. Telephonic speech data are collected automatically from all geographical regions of West Bengal to cover major dialectal variations of Bangla spoken language. All incoming calls are handled by Asterisk Server i.e. Computer telephony interface (CTI). The system asks some queries and users’ spoken responses are stored and transcribed manually for ASR system training. At the time of application of telephonic ASR, users’ voice queries are passed through the Signal Analysis and Decision (SAD) Module and after getting its decision speech signal may enter into the back-end Automatic Speech Recognition (ASR) Engine and relevant information is automatically delivered to the user. In real time scenario, the telephonic speech contains channel drop, silence or no speech event, truncated speech signal, noisy signal etc. along with the desired speech event. This paper deals with some techniques which will handle such unwanted signals in case of telephonic speech to certain extent and able to provide almost desired speech signal for the ASR system. Real time telephonic ASR system performance is increased by 8.91 % after implementing SAD module.