Phoneme Recognition

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

27 shown of 27 papers with code (104 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.

• WaveNet: A Generative Model for Raw Audio
  12 Sep 2016 62 repositories listed Syntology ran 41 of 103 samples · 62 unverified · 25 pointer-only (licence)
  This paper introduces WaveNet, a deep neural network for generating raw audio waveforms.
• 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…
• Sequence Transduction with Recurrent Neural Networks
  14 Nov 2012 7 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  One of the key challenges in sequence transduction is learning to represent both the input and output sequences in a way that is invariant to sequential distortions such as shrinking, stretching and translating.
• Speech Recognition with Deep Recurrent Neural Networks
  22 Mar 2013 5 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Recurrent neural networks (RNNs) are a powerful model for sequential data.
• Improving Mispronunciation Detection with Wav2vec2-based Momentum Pseudo-Labeling for Accentedness and Intelligibility Assessment
  29 Mar 2022 2 repositories listed
  We show that fine-tuning with pseudo labels achieves a 5.
• Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
  23 Sep 2021 2 repositories listed
  Recent progress in self-training, self-supervised pretraining and unsupervised learning enabled well performing speech recognition systems without any labeled data.
• Do Deep Nets Really Need to be Deep?
  21 Dec 2013 2 repositories listed
  Currently, deep neural networks are the state of the art on problems such as speech recognition and computer vision.
• LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks
  13 Jun 2024 1 repository listed
  Experiments are conducted with HuBERT and WavLM models and evaluated on the SUPERB benchmark for two content-related tasks: automatic speech recognition (ASR) and phoneme recognition (PR).
• SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations
  10 Mar 2024 1 repository listed
  These task-specific representations are used for robust performance on various downstream tasks by fine-tuning on the labelled data.
• Fine-Tuning Self-Supervised Learning Models for End-to-End Pronunciation Scoring
  19 Sep 2023 1 repository listed
  In the first step, the pre-trained SSL model is fine-tuned on a phoneme recognition task to obtain better representations for the pronounced phonemes.
• Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes
  7 Jun 2023 1 repository listed
  This paper proposes Allophant, a multilingual phoneme recognizer.
• Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State Transducers
  5 Sep 2022 1 repository listed
  This open source software tool, released under MIT license, is developed as a one-stop solution to handle different speech related text processing tasks for automatic speech recognition, text to speech synthesis and…
• FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Learning
  1 Jul 2022 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Our method reduces the model to 23.
• Predicting within and across language phoneme recognition performance of self-supervised learning speech pre-trained models
  24 Jun 2022 1 repository listed
  Compared with MFCC, in the within-language scenario, the performance of these SSL speech pre-trained models on AF probing tasks achieved a maximum relative increase of 34.
• Text-Aware End-to-end Mispronunciation Detection and Diagnosis
  15 Jun 2022 1 repository listed
  In the field of assessing the pronunciation quality of constrained speech, the given transcriptions can play the role of a teacher.
• Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition
  1 Apr 2022 1 repository listed
  Most of the research on data-driven speech representation learning has focused on raw audios in an end-to-end manner, paying little attention to their internal phonological or gestural structure.
• Benchmarking Generative Latent Variable Models for Speech
  22 Feb 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Stochastic latent variable models (LVMs) achieve state-of-the-art performance on natural image generation but are still inferior to deterministic models on speech.
• Spanish and English Phoneme Recognition by Training on Simulated Classroom Audio Recordings of Collaborative Learning Environments
  21 Feb 2022 1 repository listed
  When trained on 36 Spanish phonemes and tested on real recordings of collaborative learning environments, a 0.
• Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition
  16 Nov 2021 1 repository listed
  Phonemes are defined by their relationship to words: changing a phoneme changes the word.
• Singing Language Identification using a Deep Phonotactic Approach
  31 May 2021 1 repository listed
  Extensive works have tackled Language Identification (LID) in the speech domain, however their application to the singing voice trails and performances on Singing Language Identification (SLID) can be improved…
• Real-time low-resource phoneme recognition on edge devices
  25 Mar 2021 1 repository listed
  While speech recognition has seen a surge in interest and research over the last decade, most machine learning models for speech recognition either require large training datasets or lots of storage and memory.
• Word Error Rate Estimation Without ASR Output: e-WER2
  8 Aug 2020 1 repository listed
  Measuring the performance of automatic speech recognition (ASR) systems requires manually transcribed data in order to compute the word error rate (WER), which is often time-consuming and expensive.
• Application of Word2vec in Phoneme Recognition
  17 Dec 2019 1 repository listed
  At the same time, in order to solve the problem of overfitting in the 61 phoneme recognition model on TIMIT dataset, we propose a new training method.
• Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition
  20 Jun 2018 1 repository listed
  Quaternion numbers and quaternion neural networks have shown their efficiency to process multidimensional inputs as entities, to encode internal dependencies, and to solve many tasks with less learning parameters than…
• Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks
  10 Jan 2017 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Meanwhile, Connectionist Temporal Classification (CTC) with Recurrent Neural Networks (RNNs), which is proposed for labeling unsegmented sequences, makes it feasible to train an end-to-end speech recognition system…
• Regularizing RNNs by Stabilizing Activations
  26 Nov 2015 1 repository listed
  We stabilize the activations of Recurrent Neural Networks (RNNs) by penalizing the squared distance between successive hidden states' norms.
• End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks
  7 Dec 2013 1 repository listed
  Most phoneme recognition state-of-the-art systems rely on a classical neural network classifiers, fed with highly tuned features, such as MFCC or PLP features.

Syntology lines on 6 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.