A Structured Approach towards Robust Database Collection for Speaker Recognition

Abstract

Speaker recognition systems are classified according to their database, feature extraction techniques and classification methods.
It is analyzed that there is a much need to work upon all the dimensions of forensic speaker recognition systems from the very beginning phase of database collection to recognition phase. The present work provides a structured approach towards developing
a robust speech database collection for efficient speaker recognition system. The database required for both systems is entirely
different. The databases for biometric systems are readily available while databases for forensic speaker recognition system are
scarce. The paper also presents several databases available for speaker recognition systems.