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 61016150 of 6433 papers

TitleStatusHype
Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 ChallengeCode0
Error-preserving Automatic Speech Recognition of Young English Learners' LanguageCode0
Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language UnderstandingCode0
Domain Adaptation Using Class Similarity for Robust Speech RecognitionCode0
Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning FusionCode0
Neural Sentiment Classification with User and Product AttentionCode0
Does Joint Training Really Help Cascaded Speech Translation?Code0
3D Convolutional Neural Networks for Cross Audio-Visual Matching RecognitionCode0
PyKaldi2: Yet another speech toolkit based on Kaldi and PyTorchCode0
Using Filter Banks in Convolutional Neural Networks for Texture ClassificationCode0
Human Transcription Quality ImprovementCode0
A Survey of Deep Active LearningCode0
To Distill or Not to Distill? On the Robustness of Robust Knowledge DistillationCode0
CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion RecognitionCode0
Do Deep Nets Really Need to be Deep?Code0
HuBERT-EE: Early Exiting HuBERT for Efficient Speech RecognitionCode0
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech RecognitionCode0
Bi-Directional Lattice Recurrent Neural Networks for Confidence EstimationCode0
Speech-text based multi-modal training with bidirectional attention for improved speech recognitionCode0
lex4all: A language-independent tool for building and evaluating pronunciation lexicons for small-vocabulary speech recognitionCode0
Textless Speech-to-Speech Translation With Limited Parallel DataCode0
Enriching Rare Word Representations in Neural Language Models by Embedding Matrix AugmentationCode0
The NPU-ASLP System Description for Visual Speech Recognition in CNVSRC 2024Code0
QSGD: Communication-Efficient SGD via Gradient Quantization and EncodingCode0
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural NetworksCode0
How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia DetectionCode0
How Phonotactics Affect Multilingual and Zero-shot ASR PerformanceCode0
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword SpottingCode0
Homophone Disambiguation Reveals Patterns of Context Mixing in Speech TransformersCode0
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech TranslationCode0
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and German Speech RecognitionCode0
Light Gated Recurrent Units for Speech RecognitionCode0
High-order Graph-based Neural Dependency ParsingCode0
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in VideoCode0
Hierarchical Text Generation using an OutlineCode0
Hierarchical Softmax for End-to-End Low-resource Multilingual Speech RecognitionCode0
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error ClassificationsCode0
Enhancing Quantised End-to-End ASR Models via PersonalisationCode0
NIESR: Nuisance Invariant End-to-end Speech RecognitionCode0
Bayesian Learning for Deep Neural Network AdaptationCode0
Quantifying Bias in Automatic Speech RecognitionCode0
Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation NetworkCode0
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTubeCode0
Lightweight Transducer Based on Frame-Level CriterionCode0
Text-Based Detection of On-Hold Scripts in Contact Center CallsCode0
Linear Time Complexity Conformers with SummaryMixing for Streaming Speech RecognitionCode0
Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-LabelingCode0
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based AugmentationCode0
Quantization and Deployment of Deep Neural Networks on MicrocontrollersCode0
Quantization for OpenAI's Whisper Models: A Comparative AnalysisCode0
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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
9HMM-TDNN + iVectorsWord Error Rate (WER)4.8Unverified
10Gated ConvNetsWord 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
7DNN MPEPercentage error12.9Unverified
8DNN MMIPercentage error12.9Unverified
9HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
10HMM-DNN +sMBRPercentage 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
6Convolutional Speech RecognitionWord Error Rate (WER)3.5Unverified
7TC-DNN-BLSTM-DNNWord 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