# The Zero Resource Speech Challenge 2017

arXiv: https://arxiv.org/abs/1712.04313 · HTML: https://mlsanity.com/paper/1712.04313/

## Key facts

- Cited by 45 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Dec 2017.

## Built on by (most cited first, 30 of 45)

- [VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation](https://mlsanity.com/paper/2101.00390/) (2021)
- [Self-Supervised Speech Representation Learning: A Review](https://mlsanity.com/paper/2205.10643/) (2022)
- [A Survey on Neural Speech Synthesis](https://mlsanity.com/paper/2106.15561/) (2021)
- [Word Discovery in Visually Grounded, Self-Supervised Speech Models](https://mlsanity.com/paper/2203.15081/) (2022)
- [Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challenge](https://mlsanity.com/paper/2210.15759/) (2022)
- [ProsAudit, a prosodic benchmark for self-supervised speech models](https://mlsanity.com/paper/2302.12057/) (2023)
- [Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring](https://mlsanity.com/paper/2202.11929/) (2022)
- [Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models](https://mlsanity.com/paper/2210.16043/) (2022)
- [DUB: Discrete Unit Back-translation for Speech Translation](https://mlsanity.com/paper/2305.11411/) (2023)
- [DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon](https://mlsanity.com/paper/2206.11332/) (2022)
- [A Brief Overview of Unsupervised Neural Speech Representation Learning](https://mlsanity.com/paper/2203.01829/) (2022)
- [LAST: Language Model Aware Speech Tokenization](https://mlsanity.com/paper/2409.03701/) (2024)
- [Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery](https://mlsanity.com/paper/2103.08199/) (2021)
- [Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw](https://mlsanity.com/paper/2106.11603/) (2021)
- [fastabx: A library for efficient computation of ABX discriminability](https://mlsanity.com/paper/2505.02692/) (2025)
- [ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition](https://mlsanity.com/paper/2107.06546/) (2021)
- [On the Difficulty of Segmenting Words with Attention](https://mlsanity.com/paper/2109.10107/) (2021)
- [LingGym: How Far Are LLMs from Thinking Like Field Linguists?](https://mlsanity.com/paper/2511.00343/) (2025)
- [A phonetic model of non-native spoken word processing](https://mlsanity.com/paper/2101.11332/) (2021)
- [Unsupervised Automatic Speech Recognition: A Review](https://mlsanity.com/paper/2106.04897/) (2021)
- [Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition](https://mlsanity.com/paper/2201.11207/) (2022)
- [Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data](https://mlsanity.com/paper/2203.11476/) (2022)
- [Self-supervised speech unit discovery from articulatory and acoustic features using VQ-VAE](https://mlsanity.com/paper/2206.08790/) (2022)
- [Exploring How Generative Adversarial Networks Learn Phonological Representations](https://mlsanity.com/paper/2305.12501/) (2023)
- [Unsupervised lexicon learning from speech is limited by representations rather than clustering](https://mlsanity.com/paper/2510.09225/) (2025)
- [Discrete representations in neural models of spoken language](https://mlsanity.com/paper/2105.05582/) (2021)
- [Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation](https://mlsanity.com/paper/2104.00994/) (2021)
- [Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings](https://mlsanity.com/paper/2106.04298/) (2021)
- [Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models](https://mlsanity.com/paper/2205.15823/) (2022)
- [Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings](https://mlsanity.com/paper/2210.12857/) (2022)

## Abstract (arXiv)

We describe a new challenge aimed at discovering subword and word units from raw speech. This challenge is the followup to the Zero Resource Speech Challenge 2015. It aims at constructing systems that generalize across languages and adapt to new speakers. The design features and evaluation metrics of the challenge are presented and the results of seventeen models are discussed.