The Zero Resource Speech Challenge 2017
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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.
Key facts. Cited by 45 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Dec 2017.
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Citing papers per year: 2021: 13; 2022: 13; 2023: 7; 2024: 1; 2025: 8; 2026: 3.
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- 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 455
- 2022Self-Supervised Speech Representation Learning: A Reviewcited by 258
- 2021A Survey on Neural Speech Synthesiscited by 182
- 2022Word Discovery in Visually Grounded, Self-Supervised Speech Modelscited by 37
- 2022Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challengecited by 34
- 2022Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoringcited by 24
- 2023ProsAudit, a prosodic benchmark for self-supervised speech modelscited by 24
- 2022Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Modelscited by 21
- 2023DUB: Discrete Unit Back-translation for Speech Translationcited by 18
- 2022DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexiconcited by 12
- 2022A Brief Overview of Unsupervised Neural Speech Representation Learningcited by 9
- 2024LAST: Language Model Aware Speech Tokenizationcited by 9
33 more
- 2021Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discoverycited by 7
- 2021Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclawcited by 7
- 2025fastabx: A library for efficient computation of ABX discriminabilitycited by 7
- 2021ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 editioncited by 6
- 2021On the Difficulty of Segmenting Words with Attentioncited by 6
- 2025LingGym: How Far Are LLMs from Thinking Like Field Linguists?cited by 6
- 2021A phonetic model of non-native spoken word processingcited by 5
- 2021Unsupervised Automatic Speech Recognition: A Reviewcited by 5
- 2022Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognitioncited by 5
- 2022Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech datacited by 5
- 2022Self-supervised speech unit discovery from articulatory and acoustic features using VQ-VAEcited by 5
- 2023Exploring How Generative Adversarial Networks Learn Phonological Representationscited by 4
- 2025Unsupervised lexicon learning from speech is limited by representations rather than clusteringcited by 4
- 2021Discrete representations in neural models of spoken languagecited by 3
- 2021Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representationcited by 2
- 2021Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settingscited by 2
- 2022Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic modelscited by 2
- 2022Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddingscited by 2
- 2023Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Poolingcited by 2
- 2021Shennong: a Python toolbox for audio speech features extractioncited by 1
- 2023Representation Learning With Hidden Unit Clustering For Low Resource Speech Applicationscited by 1
- 2023XLS-R fine-tuning on noisy word boundaries for unsupervised speech segmentation into wordscited by 1
- 2023Towards Matching Phones and Speech Representationscited by 1
- 2025Pitch Accent Detection improves Pretrained Automatic Speech Recognitioncited by 1
- 2025MauBERT: Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discoverycited by 1
- 2025SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptationcited by 1
- 2026PashtoTTS-Bench: automated screening for low-resource non-Latin-script text-to-speechcited by 1
- 2021Voice Conversion Based Speaker Normalization for Acoustic Unit Discoverycited by 0
- 2022Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learningcited by 0
- 2025Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusterscited by 0
- 2025Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Taskscited by 0
- 2026DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Unitscited by 0
- 2026Recovering the Zipfian Distribution in Unsupervised Term Discoverycited by 0
- 2026Recovering the Zipfian Distribution in Unsupervised Term Discovery9 Jun 2026
- 2026PashtoTTS-Bench: automated screening for low-resource non-Latin-script text-to-speech26 May 2026
- 2026DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Units19 Mar 2026
- 2025SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation24 Dec 2025
- 2025MauBERT: Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discovery22 Dec 2025
- 2025LingGym: How Far Are LLMs from Thinking Like Field Linguists?1 Nov 2025
- 2025Unsupervised lexicon learning from speech is limited by representations rather than clustering10 Oct 2025
- 2025Pitch Accent Detection improves Pretrained Automatic Speech Recognition6 Aug 2025
- 2025Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks23 May 2025
- 2025fastabx: A library for efficient computation of ABX discriminability5 May 2025
- 2025Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters16 Apr 2025
- 2024LAST: Language Model Aware Speech Tokenization5 Sep 2024
33 more
- 2023Towards Matching Phones and Speech Representations26 Oct 2023
- 2023XLS-R fine-tuning on noisy word boundaries for unsupervised speech segmentation into words8 Oct 2023
- 2023Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications14 Jul 2023
- 2023Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling3 Jun 2023
- 2023Exploring How Generative Adversarial Networks Learn Phonological Representations21 May 2023
- 2023DUB: Discrete Unit Back-translation for Speech Translation19 May 2023
- 2023ProsAudit, a prosodic benchmark for self-supervised speech models23 Feb 2023
- 2022Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning21 Dec 2022
- 2022Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models28 Oct 2022
- 2022Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challenge27 Oct 2022
- 2022Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings23 Oct 2022
- 2022DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon22 Jun 2022
- 2022Self-supervised speech unit discovery from articulatory and acoustic features using VQ-VAE17 Jun 2022
- 2022Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models31 May 2022
- 2022Self-Supervised Speech Representation Learning: A Review21 May 2022
- 2022Word Discovery in Visually Grounded, Self-Supervised Speech Models28 Mar 2022
- 2022Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data22 Mar 2022
- 2022A Brief Overview of Unsupervised Neural Speech Representation Learning1 Mar 2022
- 2022Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoring24 Feb 2022
- 2022Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition26 Jan 2022
- 2021Shennong: a Python toolbox for audio speech features extraction10 Dec 2021
- 2021On the Difficulty of Segmenting Words with Attention21 Sep 2021
- 2021ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition14 Jul 2021
- 2021A Survey on Neural Speech Synthesis29 Jun 2021
- 2021Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw22 Jun 2021
- 2021Unsupervised Automatic Speech Recognition: A Review9 Jun 2021
- 2021Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings8 Jun 2021
- 2021Discrete representations in neural models of spoken language12 May 2021
- 2021Voice Conversion Based Speaker Normalization for Acoustic Unit Discovery4 May 2021
- 2021Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation2 Apr 2021
- 2021Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery15 Mar 2021
- 2021A phonetic model of non-native spoken word processing27 Jan 2021
- 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation2 Jan 2021
- 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 455
- 2022Self-Supervised Speech Representation Learning: A Reviewcited by 258
- 2021A Survey on Neural Speech Synthesiscited by 182
- 2022Word Discovery in Visually Grounded, Self-Supervised Speech Modelscited by 37
- 2022Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challengecited by 34
- 2022Word Segmentation on Discovered Phone Units with Dynamic Programming and Self-Supervised Scoringcited by 24
- 2023ProsAudit, a prosodic benchmark for self-supervised speech modelscited by 24
- 2022Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Modelscited by 21
- 2023DUB: Discrete Unit Back-translation for Speech Translationcited by 18
- 2022DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexiconcited by 12
- 2022A Brief Overview of Unsupervised Neural Speech Representation Learningcited by 9
- 2024LAST: Language Model Aware Speech Tokenizationcited by 9
12 most cited of 44 All 44 (JSON)
- 2026Recovering the Zipfian Distribution in Unsupervised Term Discovery9 Jun 2026
- 2026PashtoTTS-Bench: automated screening for low-resource non-Latin-script text-to-speech26 May 2026
- 2026DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Units19 Mar 2026
- 2025SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation24 Dec 2025
- 2025MauBERT: Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discovery22 Dec 2025
- 2025Unsupervised lexicon learning from speech is limited by representations rather than clustering10 Oct 2025
- 2025Pitch Accent Detection improves Pretrained Automatic Speech Recognition6 Aug 2025
- 2025Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks23 May 2025
- 2025fastabx: A library for efficient computation of ABX discriminability5 May 2025
- 2025Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters16 Apr 2025
- 2024LAST: Language Model Aware Speech Tokenization5 Sep 2024
- 2023Towards Matching Phones and Speech Representations26 Oct 2023
12 newest of 44 All 44 (JSON)