# The VOiCES from a Distance Challenge 2019 Evaluation Plan

arXiv: https://arxiv.org/abs/1902.10828 · HTML: https://mlsanity.com/paper/1902.10828/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Feb 2019.

## Built on by (most cited first, 10 of 10)

- [Robust Speaker Recognition with Transformers Using wav2vec 2.0](https://mlsanity.com/paper/2203.15095/) (2022)
- [BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition](https://mlsanity.com/paper/2505.00059/) (2025)
- [Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations](https://mlsanity.com/paper/2305.08099/) (2023)
- [MultiSV: Dataset for Far-Field Multi-Channel Speaker Verification](https://mlsanity.com/paper/2111.06458/) (2021)
- [Speech enhancement with frequency domain auto-regressive modeling](https://mlsanity.com/paper/2309.13537/) (2023)
- [Phonetic-aware speaker embedding for far-field speaker verification](https://mlsanity.com/paper/2311.15627/) (2023)
- [ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions Challenge](https://mlsanity.com/paper/2505.18217/) (2025)
- [LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification Models](https://mlsanity.com/paper/2311.16604/) (2023)
- [DAME: Duration-Aware Matryoshka Embedding for Duration-Robust Speaker Verification](https://mlsanity.com/paper/2601.13999/) (2026)
- [Self-Supervised Learning for Speaker Recognition: A study and review](https://mlsanity.com/paper/2602.10829/) (2026)

## Abstract (arXiv)

The "VOiCES from a Distance Challenge 2019" is designed to foster research in the area of speaker recognition and automatic speech recognition (ASR) with the special focus on single channel distant/far-field audio, under noisy conditions. The main objectives of this challenge are to: (i) benchmark state-of-the-art technology in the area of speaker recognition and automatic speech recognition (ASR), (ii) support the development of new ideas and technologies in speaker recognition and ASR, (iii) support new research groups entering the field of distant/far-field speech processing, and (iv) provide a new, publicly available dataset to the community that exhibits realistic distance characteristics.