SOTAVerified

Speech Recognition

Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.

( Image credit: SpecAugment )

Papers

Showing 15511600 of 6433 papers

TitleStatusHype
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology ReportsCode1
Learning Cross-lingual Mappings for Data Augmentation to Improve Low-Resource Speech Recognition0
Feature Normalization for Fine-tuning Self-Supervised Models in Speech Enhancement0
Research on an improved Conformer end-to-end Speech Recognition Model with R-Drop Structure0
Improving Code-Switching and Named Entity Recognition in ASR with Speech Editing based Data Augmentation0
ITALIC: An Italian Intent Classification DatasetCode1
Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer0
Automated Speaker Independent Visual Speech Recognition: A Comprehensive Survey0
Large-scale Language Model Rescoring on Long-form Data0
Statistical Beamformer Exploiting Non-stationarity and Sparsity with Spatially Constrained ICA for Robust Speech Recognition0
DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer ASR0
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple LanguagesCode1
Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation0
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding0
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition0
On the N-gram Approximation of Pre-trained Language Models0
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport0
OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality AlignmentCode1
What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model0
Adversarial Training For Low-Resource Disfluency CorrectionCode0
Modality Influence in Multimodal Machine Learning0
Improving Frame-level Classifier for Word Timings with Non-peaky CTC in End-to-End Automatic Speech Recognition0
A Theory of Unsupervised Speech RecognitionCode0
Record Deduplication for Entity Distribution Modeling in ASR Transcripts0
Latent Phrase Matching for Dysarthric Speech0
Improving Language Model Integration for Neural Machine Translation0
FOOCTTS: Generating Arabic Speech with Acoustic Environment for Football Commentator0
Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency0
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders0
Transfer Learning of Transformer-based Speech Recognition Models from Czech to Slovak0
Zambezi Voice: A Multilingual Speech Corpus for Zambian LanguagesCode1
Allophant: Cross-lingual Phoneme Recognition with Articulatory AttributesCode1
Text-only Domain Adaptation using Unified Speech-Text Representation in Transducer0
A study on the impact of Self-Supervised Learning on automatic dysarthric speech assessment0
Label Aware Speech Representation Learning For Language Identification0
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based AugmentationCode0
Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization0
Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering0
RescueSpeech: A German Corpus for Speech Recognition in Search and Rescue Domain0
Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses0
Machine Unlearning: A Survey0
N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition0
Incorporating L2 Phonemes Using Articulatory Features for Robust Speech Recognition0
OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition0
MAVD: The First Open Large-Scale Mandarin Audio-Visual Dataset with Depth InformationCode1
End-to-End Joint Target and Non-Target Speakers ASR0
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings0
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR ModelsCode0
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy MinimizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AmNetWord Error Rate (WER)8.6Unverified
2HMM-(SAT)GMMWord Error Rate (WER)8Unverified
3Local Prior Matching (Large Model)Word Error Rate (WER)7.19Unverified
4SnipsWord Error Rate (WER)6.4Unverified
5Li-GRUWord Error Rate (WER)6.2Unverified
6HMM-DNN + pNorm*Word Error Rate (WER)5.5Unverified
7CTC + policy learningWord Error Rate (WER)5.42Unverified
8Deep Speech 2Word Error Rate (WER)5.33Unverified
9Gated ConvNetsWord Error Rate (WER)4.8Unverified
10HMM-TDNN + iVectorsWord Error Rate (WER)4.8Unverified
#ModelMetricClaimedVerifiedStatus
1Local Prior Matching (Large Model)Word Error Rate (WER)20.84Unverified
2SnipsWord Error Rate (WER)16.5Unverified
3Local Prior Matching (Large Model, ConvLM LM)Word Error Rate (WER)15.28Unverified
4Deep Speech 2Word Error Rate (WER)13.25Unverified
5TDNN + pNorm + speed up/down speechWord Error Rate (WER)12.5Unverified
6CTC-CRF 4gram-LMWord Error Rate (WER)10.65Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)10.47Unverified
8MT4SSLWord Error Rate (WER)9.6Unverified
9Jasper DR 10x5Word Error Rate (WER)8.79Unverified
10EspressoWord Error Rate (WER)8.7Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error20Unverified
2DNN-HMMPercentage error18.5Unverified
3CD-DNNPercentage error16.1Unverified
4DNNPercentage error16Unverified
5DNN + DropoutPercentage error15Unverified
6DNN BMMIPercentage error12.9Unverified
7HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
8DNN MPEPercentage error12.9Unverified
9DNN MMIPercentage error12.9Unverified
10CNN + Bi-RNN + CTC (speech to letters), 25.9% WER if trainedonlyon SWBPercentage error12.6Unverified
#ModelMetricClaimedVerifiedStatus
1LSNNPercentage error33.2Unverified
2LAS multitask with indicators samplingPercentage error20.4Unverified
3Soft Monotonic Attention (ours, offline)Percentage error20.1Unverified
4QCNN-10L-256FMPercentage error19.64Unverified
5Bi-LSTM + skip connections w/ CTCPercentage error17.7Unverified
6Bi-RNN + AttentionPercentage error17.6Unverified
7RNN-CRF on 24(x3) MFSCPercentage error17.3Unverified
8CNN in time and frequency + dropout, 17.6% w/o dropoutPercentage error16.7Unverified
9Light Gated Recurrent UnitsPercentage error16.7Unverified
10GRUPercentage error16.6Unverified
#ModelMetricClaimedVerifiedStatus
1AttWord Error Rate (WER)18.7Unverified
2CTC/AttWord Error Rate (WER)6.7Unverified
3BRA-EWord Error Rate (WER)6.63Unverified
4CTC-CRF 4gram-LMWord Error Rate (WER)6.34Unverified
5BATWord Error Rate (WER)4.97Unverified
6ParaformerWord Error Rate (WER)4.95Unverified
7U2Word Error Rate (WER)4.72Unverified
8UMAWord Error Rate (WER)4.7Unverified
9Lightweight TransducerWord Error Rate (WER)4.31Unverified
10CIF-HKD With LMWord Error Rate (WER)4.1Unverified
#ModelMetricClaimedVerifiedStatus
1Jasper 10x3Word Error Rate (WER)6.9Unverified
2CNN over RAW speech (wav)Word Error Rate (WER)5.6Unverified
3CTC-CRF 4gram-LMWord Error Rate (WER)3.79Unverified
4Deep Speech 2Word Error Rate (WER)3.6Unverified
5test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm*Word Error Rate (WER)3.6Unverified
6TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)3.5Unverified
8EspressoWord Error Rate (WER)3.4Unverified
9CTC-CRF VGG-BLSTMWord Error Rate (WER)3.2Unverified
10Transformer with Relaxed AttentionWord Error Rate (WER)3.19Unverified