Robust 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

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

26 shown of 26 papers with code (97 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.

• 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.
• Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition
  11 Oct 2021 2 repositories listed
  Speech enhancement (SE) aims to suppress the additive noise from a noisy speech signal to improve the speech's perceptual quality and intelligibility.
• Scalable Factorized Hierarchical Variational Autoencoder Training
  9 Apr 2018 2 repositories listed
  Deep generative models have achieved great success in unsupervised learning with the ability to capture complex nonlinear relationships between latent generating factors and observations.
• Very Deep Convolutional Neural Networks for Robust Speech Recognition
  2 Oct 2016 2 repositories listed
  On the Aurora 4 task, the very deep CNN achieves a WER of 8.
• Dysarthria Normalization via Local Lie Group Transformations for Robust ASR
  16 Apr 2025 1 repository listed
  We present a geometry-driven method for normalizing dysarthric speech by modeling time, frequency, and amplitude distortions as smooth, local Lie group transformations of spectrograms.
• MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech Tokens
  14 Mar 2025 1 repository listed
  Audio-Visual Speech Recognition (AVSR) achieves robust speech recognition in noisy environments by combining auditory and visual information.
• mWhisper-Flamingo for Multilingual Audio-Visual Noise-Robust Speech Recognition
  3 Feb 2025 1 repository listed
  In this work, we propose mWhisper-Flamingo for multilingual AVSR which combines the strengths of a pre-trained audio model (Whisper) and video model (AV-HuBERT).
• Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech Recognition
  19 Sep 2024 1 repository listed
  To mitigate this issue, we propose a novel channel-aware data simulation method for robust ASR training.
• Speech Robust Bench: A Robustness Benchmark For Speech Recognition
  8 Mar 2024 1 repository listed Syntology ran 7 of 9 samples · 2 unverified · 2 pointer-only (licence)
  As Automatic Speech Recognition (ASR) models become ever more pervasive, it is important to ensure that they make reliable predictions under corruptions present in the physical and digital world.
• Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
  19 Jan 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  To this end, we propose to extract a language-space noise embedding from the N-best list to represent the noise conditions of source speech, which can promote the denoising process in GER.
• LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
  29 Jun 2023 1 repository listed
  We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic lyrics transcription method achieving state-of-the-art performance on various lyrics transcription datasets, even in challenging genres such as…
• MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation
  1 Mar 2023 1 repository listed
  We introduce MuAViC, a multilingual audio-visual corpus for robust speech recognition and robust speech-to-text translation providing 1200 hours of audio-visual speech in 9 languages.
• Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
  22 Feb 2023 1 repository listed
  In this paper, we propose a simple yet effective approach called gradient remedy (GR) to solve interference between task gradients in noise-robust speech recognition, from perspectives of both angle and magnitude.
• Audio-Visual Efficient Conformer for Robust Speech Recognition
  4 Jan 2023 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  We improve previous lip reading methods using an Efficient Conformer back-end on top of a ResNet-18 visual front-end and by adding intermediate CTC losses between blocks.
• CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised learning of speech representations
  5 Oct 2022 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)
  While Self-Supervised Learning has helped reap the benefit of the scale from the available unlabeled data, the learning paradigms are continuously being bettered.
• DENT-DDSP: Data-efficient noisy speech generator using differentiable digital signal processors for explicit distortion modelling and noise-robust speech recognition
  1 Aug 2022 1 repository listed
  Moreover, to validate whether the data simulated by DENT-DDSP are able to replace the scarce in-domain noisy data in the noise-robust ASR tasks, several downstream ASR models with the same architecture are trained using…
• ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding
  19 Jul 2022 1 repository listed
  To showcase such integration, we performed experiments on carefully designed synthetic datasets for noisy-reverberant multi-channel ST and SLU tasks, which can be used as benchmark corpora for future research.
• Dual-Path Style Learning for End-to-End Noise-Robust Speech Recognition
  28 Mar 2022 1 repository listed
  Then, we propose style learning to map the fused feature close to clean feature, in order to learn latent speech information from the latter, i.
• Speech-enhanced and Noise-aware Networks for Robust Speech Recognition
  25 Mar 2022 1 repository listed
  In this paper, a noise-aware training framework based on two cascaded neural structures is proposed to jointly optimize speech enhancement and speech recognition.
• Sequential Randomized Smoothing for Adversarially Robust Speech Recognition
  5 Nov 2021 1 repository listed
  We apply adaptive versions of state-of-the-art attacks, such as the Imperceptible ASR attack, to our model, and show that our strongest defense is robust to all attacks that use inaudible noise, and can only be broken…
• An Investigation of End-to-End Models for Robust Speech Recognition
  11 Feb 2021 1 repository listed
  A systematic comparison of these two approaches for end-to-end robust ASR has not been attempted before.
• Domain Adaptation Using Class Similarity for Robust Speech Recognition
  5 Nov 2020 1 repository listed
  Then, for each class, probabilities of this class are used to compute a mean vector, which we refer to as mean soft labels.
• Multi-task self-supervised learning for Robust Speech Recognition
  25 Jan 2020 1 repository listed
  We then propose a revised encoder that better learns short- and long-term speech dynamics with an efficient combination of recurrent and convolutional networks.
• Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural Networks
  23 Jun 2019 1 repository listed
  We investigate the potential of stochastic neural networks for learning effective waveform-based acoustic models.
• Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition
  12 Apr 2019 1 repository listed
  The latent variables allow us to convert the domain of speech according to its context and domain representation.
• Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech Recognition
  27 Mar 2018 1 repository listed
  First, we study the effectiveness of different dereverberation networks (the generator in GAN) and find that LSTM leads a significant improvement as compared with feed-forward DNN and CNN in our dataset.

Syntology lines on 5 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.