# Deep learning methods in speaker recognition: a review

arXiv: https://arxiv.org/abs/1911.06615 · HTML: https://mlsanity.com/paper/1911.06615/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Nov 2019.

## Built on by (most cited first, 7 of 7)

- [A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment](https://mlsanity.com/paper/2105.04488/) (2021)
- [Improving Fairness in Speaker Recognition](https://mlsanity.com/paper/2104.14067/) (2021)
- [The effect of speech pathology on automatic speaker verification -- a large-scale study](https://mlsanity.com/paper/2204.06450/) (2022)
- [A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments](https://mlsanity.com/paper/2110.12778/) (2021)
- [Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings](https://mlsanity.com/paper/2209.12602/) (2022)
- [Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition](https://mlsanity.com/paper/2103.09072/) (2021)
- [Speaker Recognition in the Wild](https://mlsanity.com/paper/2205.02475/) (2022)

## Abstract (arXiv)

This paper summarizes the applied deep learning practices in the field of speaker recognition, both verification and identification. Speaker recognition has been a widely used field topic of speech technology. Many research works have been carried out and little progress has been achieved in the past 5-6 years. However, as deep learning techniques do advance in most machine learning fields, the former state-of-the-art methods are getting replaced by them in speaker recognition too. It seems that DL becomes the now state-of-the-art solution for both speaker verification and identification. The standard x-vectors, additional to i-vectors, are used as baseline in most of the novel works. The increasing amount of gathered data opens up the territory to DL, where they are the most effective.