# State-of-the-art in speaker recognition

arXiv: https://arxiv.org/abs/2202.12705 · HTML: https://mlsanity.com/paper/2202.12705/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 12 references that are in the map.
- First posted on arXiv 23 Feb 2022.

## Built on by (most cited first, 2 of 2)

- [Enhancement of a Text-Independent Speaker Verification System by using Feature Combination and Parallel-Structure Classifiers](https://mlsanity.com/paper/2401.15018/) (2024)
- [Fast on-line signature recognition based on VQ with time modeling](https://mlsanity.com/paper/2203.12104/) (2022)

## Abstract (arXiv)

Recent advances in speech technologies have produced new tools that can be used to improve the performance and flexibility of speaker recognition While there are few degrees of freedom or alternative methods when using fingerprint or iris identification techniques, speech offers much more flexibility and different levels for performing recognition: the system can force the user to speak in a particular manner, different for each attempt to enter. Also with voice input the system has other degrees of freedom, such as the use of knowledge/codes that only the user knows, or dialectical/semantical traits that are difficult to forge. This paper offers and overview of the state of the art in speaker recognition, with special emphasis on the pros and contras, and the current research lines. The current research lines include improved classification systems, and the use of high level information by means of probabilistic grammars. In conclusion, speaker recognition is far away from being a technology where all the possibilities have already been explored.