Unsupervised Speech Recognition

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (17 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• A segmental framework for fully-unsupervised large-vocabulary speech recognition
  22 Jun 2016 5 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  We also show that the discovered clusters can be made less speaker- and gender-specific by using an unsupervised autoencoder-like feature extractor to learn better frame-level features (prior to embedding).
• Unsupervised Speech Recognition
  24 May 2021 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Despite rapid progress in the recent past, current speech recognition systems still require labeled training data which limits this technology to a small fraction of the languages spoken around the globe.
• Towards Unsupervised Speech Recognition Without Pronunciation Models
  12 Jun 2024 1 repository listed Syntology ran 8 of 8 samples · 0 unverified
  Recent advancements in supervised automatic speech recognition (ASR) have achieved remarkable performance, largely due to the growing availability of large transcribed speech corpora.
• Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching
  3 Oct 2023 1 repository listed Syntology ran 8 of 9 samples · 1 unverified
  Training unsupervised speech recognition systems presents challenges due to GAN-associated instability, misalignment between speech and text, and significant memory demands.
• A Theory of Unsupervised Speech Recognition
  9 Jun 2023 1 repository listed
  Unsupervised speech recognition (ASR-U) is the problem of learning automatic speech recognition (ASR) systems from unpaired speech-only and text-only corpora.
• Supervised Acoustic Embeddings And Their Transferability Across Languages
  3 Jan 2023 1 repository listed
  In speech recognition, it is essential to model the phonetic content of the input signal while discarding irrelevant factors such as speaker variations and noise, which is challenging in low-resource settings.
• Towards End-to-end Unsupervised Speech Recognition
  5 Apr 2022 1 repository listed
  Unsupervised speech recognition has shown great potential to make Automatic Speech Recognition (ASR) systems accessible to every language.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.