# VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition

arXiv: https://arxiv.org/abs/2501.00328 · HTML: https://mlsanity.com/paper/2501.00328/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 12 of its 27 references that are in the map.
- First posted on arXiv 31 Dec 2024.

## Builds on (most cited first, 12 of 12)

- [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://mlsanity.com/paper/2010.11929/) (2020)
- [WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing](https://mlsanity.com/paper/2110.13900/) (2021)
- [VoxCeleb2: Deep Speaker Recognition](https://mlsanity.com/paper/1806.05622/) (2018)
- [Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition](https://mlsanity.com/paper/1804.03209/) (2018)
- [AST: Audio Spectrogram Transformer](https://mlsanity.com/paper/2104.01778/) (2021)
- [ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification](https://mlsanity.com/paper/2005.07143/) (2020)
- [MUSAN: A Music, Speech, and Noise Corpus](https://mlsanity.com/paper/1510.08484/) (2015)
- [S3FD: Single Shot Scale-invariant Face Detector](https://mlsanity.com/paper/1708.05237/) (2017)
- [CN-CELEB: a challenging Chinese speaker recognition dataset](https://mlsanity.com/paper/1911.01799/) (2019)
- [CN-Celeb: multi-genre speaker recognition](https://mlsanity.com/paper/2012.12468/) (2020)
- [Audio-visual Speaker Recognition with a Cross-modal Discriminative Network](https://mlsanity.com/paper/2008.03894/) (2020)
- [An Investigation of Distribution Alignment in Multi-Genre Speaker Recognition](https://mlsanity.com/paper/2309.14158/) (2023)

## Built on by (most cited first, 3 of 3)

- [VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency](https://mlsanity.com/paper/2606.24066/) (2026)
- [SEA-SpeechBench: A Large-Scale Multitask Benchmark for Speech Understanding Across Southeast Asia](https://mlsanity.com/paper/2609.09672/) (2026)
- [VietPrism: A large-scale Vietnamese speech and deepfake corpus with diverse dialects and code-switching](https://mlsanity.com/paper/2609.30005/) (2026)

## Abstract (arXiv)

Recent research in speaker recognition aims to address vulnerabilities due to variations between enrolment and test utterances, particularly in the multi-genre phenomenon where the utterances are in different speech genres. Previous resources for Vietnamese speaker recognition are either limited in size or do not focus on genre diversity, leaving studies in multi-genre effects unexplored. This paper introduces VoxVietnam, the first multi-genre dataset for Vietnamese speaker recognition with over 187,000 utterances from 1,406 speakers and an automated pipeline to construct a dataset on a large scale from public sources. Our experiments show the challenges posed by the multi-genre phenomenon to models trained on a single-genre dataset, and demonstrate a significant increase in performance upon incorporating the VoxVietnam into the training process. Our experiments are conducted to study the challenges of the multi-genre phenomenon in speaker recognition and the performance gain when the proposed dataset is used for multi-genre training.