Speech Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

235 leaderboard tables shown for this task, 65 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 235 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

96 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 96 until expanded.

Subtasks archive 2025-07-28

11 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 1,373 papers with code (6,433 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.

• Communication-Efficient Learning of Deep Networks from Decentralized Data
  17 Feb 2016 41 repositories listed Syntology ran 40 of 77 samples · 37 unverified · 50 pointer-only (licence)
  Modern mobile devices have access to a wealth of data suitable for learning models, which in turn can greatly improve the user experience on the device.
• Listen, Attend and Spell
  5 Aug 2015 40 repositories listed Syntology ran 12 of 51 samples · 39 unverified · 9 pointer-only (licence)
  Unlike traditional DNN-HMM models, this model learns all the components of a speech recognizer jointly.
• Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
  9 Apr 2018 35 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 1 pointer-only (licence)
  Describes an audio dataset of spoken words designed to help train and evaluate keyword spotting systems.
• Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
  8 Dec 2015 35 repositories listed Syntology ran 2 of 39 samples · 37 unverified
  We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages.
• SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
  18 Apr 2019 30 repositories listed Syntology ran 1 of 18 samples · 17 unverified
  On LibriSpeech, we achieve 6.
• wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
  20 Jun 2020 25 repositories listed Syntology ran 2 of 9 samples · 7 unverified · 2 pointer-only (licence)
  We show for the first time that learning powerful representations from speech audio alone followed by fine-tuning on transcribed speech can outperform the best semi-supervised methods while being conceptually simpler.
• Conformer: Convolution-augmented Transformer for Speech Recognition
  16 May 2020 25 repositories listed Syntology ran 4 of 7 samples · 3 unverified · 2 pointer-only (licence)
  Recently Transformer and Convolution neural network (CNN) based models have shown promising results in Automatic Speech Recognition (ASR), outperforming Recurrent neural networks (RNNs).
• Deep Speech: Scaling up end-to-end speech recognition
  17 Dec 2014 24 repositories listed Syntology ran 9 of 9 samples · 0 unverified · 8 pointer-only (licence)
  We present a state-of-the-art speech recognition system developed using end-to-end deep learning.
• Recurrent Neural Network Regularization
  8 Sep 2014 21 repositories listed Syntology ran 2 of 6 samples · 4 unverified · 6 pointer-only (licence)
  We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units.
• Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
  8 Mar 2021 19 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Mobile devices such as smartphones and autonomous vehicles increasingly rely on deep neural networks (DNNs) to execute complex inference tasks such as image classification and speech recognition, among others.
• LSTM: A Search Space Odyssey
  13 Mar 2015 17 repositories listed
  Several variants of the Long Short-Term Memory (LSTM) architecture for recurrent neural networks have been proposed since its inception in 1995.
• Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
  25 May 2018 16 repositories listed Syntology ran 1 of 15 samples · 14 unverified
  This paper presents the machine learning architecture of the Snips Voice Platform, a software solution to perform Spoken Language Understanding on microprocessors typical of IoT devices.
• Robust Speech Recognition via Large-Scale Weak Supervision
  6 Dec 2022 15 repositories listed Syntology ran 5 of 59 samples · 54 unverified · 18 pointer-only (licence)
  We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet.
• Improved training of end-to-end attention models for speech recognition
  8 May 2018 14 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Sequence-to-sequence attention-based models on subword units allow simple open-vocabulary end-to-end speech recognition.
• A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  7 Oct 2016 14 repositories listed Syntology ran 7 of 21 samples · 14 unverified · 6 pointer-only (licence)
  We consider the two related problems of detecting if an example is misclassified or out-of-distribution.
• Attention-Based Models for Speech Recognition
  24 Jun 2015 14 repositories listed
  Recurrent sequence generators conditioned on input data through an attention mechanism have recently shown very good performance on a range of tasks in- cluding machine translation, handwriting synthesis and image…
• data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
  7 Feb 2022 12 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  While the general idea of self-supervised learning is identical across modalities, the actual algorithms and objectives differ widely because they were developed with a single modality in mind.
• HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
  14 Jun 2021 11 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  Self-supervised approaches for speech representation learning are challenged by three unique problems: (1) there are multiple sound units in each input utterance, (2) there is no lexicon of input sound units during the…
• The PyTorch-Kaldi Speech Recognition Toolkit
  19 Nov 2018 11 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Experiments, that are conducted on several datasets and tasks, show that PyTorch-Kaldi can effectively be used to develop modern state-of-the-art speech recognizers.
• Keyword Transformer: A Self-Attention Model for Keyword Spotting
  1 Apr 2021 10 repositories listed Syntology ran 1 of 16 samples · 15 unverified
  The Transformer architecture has been successful across many domains, including natural language processing, computer vision and speech recognition.
• Jasper: An End-to-End Convolutional Neural Acoustic Model
  5 Apr 2019 10 repositories listed
  In this paper, we report state-of-the-art results on LibriSpeech among end-to-end speech recognition models without any external training data.
• WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
  26 Oct 2021 9 repositories listed
  Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks.
• Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
  11 Sep 2016 9 repositories listed
  This paper presents a simple end-to-end model for speech recognition, combining a convolutional network based acoustic model and a graph decoding.
• Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
  9 Jun 2015 9 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Recurrent Neural Networks can be trained to produce sequences of tokens given some input, as exemplified by recent results in machine translation and image captioning.
• Efficiently Modeling Long Sequences with Structured State Spaces
  31 Oct 2021 8 repositories listed Syntology ran 28 of 55 samples · 27 unverified · 3 pointer-only (licence)
  A central goal of sequence modeling is designing a single principled model that can address sequence data across a range of modalities and tasks, particularly on long-range dependencies.
• Unsupervised Cross-lingual Representation Learning for Speech Recognition
  24 Jun 2020 8 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  This paper presents XLSR which learns cross-lingual speech representations by pretraining a single model from the raw waveform of speech in multiple languages.
• wav2letter++: The Fastest Open-source Speech Recognition System
  18 Dec 2018 8 repositories listed
  This paper introduces wav2letter++, the fastest open-source deep learning speech recognition framework.
• Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning
  21 Sep 2016 8 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  Recently, there has been an increasing interest in end-to-end speech recognition that directly transcribes speech to text without any predefined alignments.
• Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Data
  25 Sep 2023 7 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Pre-training speech models on large volumes of data has achieved remarkable success.
• TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
  12 Jul 2020 7 repositories listed Syntology ran 5 of 14 samples · 9 unverified
  We present a large-scale comparison of various self-supervised models.

Syntology lines on 24 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.