Human and Automatic Speaker Recognition over Telecommunication Channels
This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefits of...
Main Author: | Fernández Gallardo, Laura (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2016.
|
Edition: | 1st ed. 2016. |
Series: | T-Labs Series in Telecommunication Services,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Robust Speaker Recognition in Noisy Environments
by: Rao, K. Sreenivasa, et al.
Published: (2014) -
Information Security for Automatic Speaker Identification
by: El-Samie, Fathi E. Abd
Published: (2011) -
Forensic Speaker Recognition Law Enforcement and Counter-Terrorism /
Published: (2012) -
Robustness-Related Issues in Speaker Recognition
by: Zheng, Thomas Fang, et al.
Published: (2017) -
Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition
by: Mary, Leena, et al.
Published: (2019)