The AI Museum
AI Analytics1,072 recordsRecounted 23 September 2026

Closed-weight speech models

16

Models

9 organisations

0%

Open weights

0 open, 16 closed

0

Frontier

By Epoch's flag

1B

Largest traceable

Conformer + Wav2vec 2.0 + Noisy Student

2009–2023

Span

7 with a traceable size

Records

16
Closed-weight speech models, newest first. Each row links to the source Epoch AI records for it.
ModelOrganisationReleasedParametersWeights
Mamba-24M (SC09)Carnegie Mellon University (CMU)2023-1223MClosed
SauTechSaudi Data and Artificial Intelligence Authority2022-09Closed
W2v-BERTGoogle Brain2021-081BClosed
top-down frozen classifierUniversity of Edinburgh2021-02Closed
BigSSLGoogle2021-018B *Closed
Conformer + Wav2vec 2.0 + Noisy StudentGoogle2020-101BClosed
ConformerGoogle2020-05119MClosed
ContextNetGoogle2020-05113M *Closed
ContextNet + Noisy StudentGoogle2020-01Closed
DL scaling speechBaidu2017-12193M *Closed
LF-MMIJohns Hopkins University2016-0917MClosed
MS-ensemble-speech-recognitionMicrosoft2016-093B *Closed
Segmental RNNUniversity of Edinburgh2016-06Closed
TC-DNN-BLSTM-DNNCarnegie Mellon University (CMU)2015-0418MClosed
Dropout (TIMIT)University of Toronto2012-0649M *Closed
BP-DBNUniversity of Toronto2009-0118MClosed

An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.

Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.

Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.

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