Automatic Speaker Recognition in Diverse Data Condition

Speaker recognition is the process of identifying and verifying a speaker's voiceprints from several voices. The main objective of speaker recognition is to create a system that is capable of verifying a person's voice and can also be proficient in identifying a person from his/her voice. This book discusses the challenges of the Speaker recognition system in practical environments. It is observed that the input signal conditions and non-speaker information have a large impact on the speaker recognition system. This book provides some solutions to the problems associated with speaker recognition in degraded signal conditions. Here some novel pre-processing, feature extraction, and modeling techniques are discussed for speaker recognition.

Autorentext

Nirupam Shome a obtenu une licence en électronique et en ingénierie des télécommunications à l'Assam Engineering College (AEC), Guwahati, Inde, en 2013, une maîtrise en communication et en traitement des signaux à l'Institut national de technologie de Silchar (NITS), Inde, en 2016, et un doctorat en électronique et en ingénierie des communications.

Klappentext

Speaker recognition is the process of identifying and verifying a speaker's voiceprints from several voices. The main objective of speaker recognition is to create a system that is capable of verifying a person's voice and can also be proficient in identifying a person from his/her voice. This book discusses the challenges of the Speaker recognition system in practical environments. It is observed that the input signal conditions and non-speaker information have a large impact on the speaker recognition system. This book provides some solutions to the problems associated with speaker recognition in degraded signal conditions. Here some novel pre-processing, feature extraction, and modeling techniques are discussed for speaker recognition.