Overview

What is Text-Independent Speaker Recognition Based on Neural Networks?

Text-Independent Speaker Recognition Based on Neural Networks : A simple and effective source code for Speaker Identification based on Neural Networks.

In depth

A closer look at Text-Independent Speaker Recognition Based on Neural Networks

Speaker recognition systems employ three styles of spoken input: text-dependent, text-prompted and text-independent. Most speaker verification applications use text-dependent input, which involves selection and enrollment of one or more voice passwords. Text-prompted input is used whenever there is concern of imposters. The various technologies used to process and store voiceprints includes hidden Markov models, pattern matching algorithms, neural networks, matrix representation and decision trees. Some systems also use “anti-speaker” techniques, such as cohort models, and world models. Ambient noise levels can impede both collection of the initial and subsequent voice samples. Performance degradation can result from changes in behavioral attributes of the voice and from enrollment using one telephone and verification on another telephone. Voice changes due to aging also need to be addressed by recognition systems. Give this algorithm a try to see what it's really capable of!

Verdict

Should you download Text-Independent Speaker Recognition Based on Neural Networks?

Text-Independent Speaker Recognition Based on Neural Networks runs on Windows 10/11 and is available under the Freeware license — the installer is 626 KB. We’ve catalogued it under Science and Engineering.

Verified clean. Every Text-Independent Speaker Recognition Based on Neural Networks build on SoftLookup is scanned for viruses, spyware, adware, trojans and backdoors. We re-test on every update.