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 401450 of 6433 papers

TitleStatusHype
How2: A Large-scale Dataset for Multimodal Language UnderstandingCode1
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data AugmentationCode1
How to Teach DNNs to Pay Attention to the Visual Modality in Speech RecognitionCode1
GPU-Accelerated WFST Beam Search Decoder for CTC-based Speech RecognitionCode1
Deep Learning Enabled Semantic Communications with Speech Recognition and SynthesisCode1
MAVD: The First Open Large-Scale Mandarin Audio-Visual Dataset with Depth InformationCode1
Deep Speech: Scaling up end-to-end speech recognitionCode1
Deep Speech 2: End-to-End Speech Recognition in English and MandarinCode1
metaCAT: A Metadata-based Task-oriented Chatbot Annotation ToolCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language TextCode1
Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence ModelsCode1
Adaptation of Whisper models to child speech recognitionCode1
DENT-DDSP: Data-efficient noisy speech generator using differentiable digital signal processors for explicit distortion modelling and noise-robust speech recognitionCode1
Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech RecognitionCode1
Advancing Test-Time Adaptation in Wild Acoustic Test SettingsCode1
Attention model for articulatory features detectionCode1
Graph Convolutions Enrich the Self-Attention in Transformers!Code1
Attention-Based Models for Speech RecognitionCode1
A context-aware knowledge transferring strategy for CTC-based ASRCode1
Differentiable Weighted Finite-State TransducersCode1
GPU-accelerated Guided Source Separation for Meeting TranscriptionCode1
Attention-based Audio-Visual Fusion for Robust Automatic Speech RecognitionCode1
Disentangling Speakers in Multi-Talker Speech Recognition with Speaker-Aware CTCCode1
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksCode1
Discriminative Multi-modality Speech RecognitionCode1
Attention-based Contextual Language Model Adaptation for Speech RecognitionCode1
Distilling a Pretrained Language Model to a Multilingual ASR ModelCode1
Automatic Disfluency Detection from Untranscribed SpeechCode1
Distilling the Knowledge of BERT for Sequence-to-Sequence ASRCode1
GPU-Accelerated Viterbi Exact Lattice Decoder for Batched Online and Offline Speech RecognitionCode1
DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arraysCode1
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API PredictionsCode1
Multi-task self-supervised learning for Robust Speech RecognitionCode1
Do VSR Models Generalize Beyond LRS3?Code1
Dompteur: Taming Audio Adversarial ExamplesCode1
DOVER: A Method for Combining Diarization OutputsCode1
Natural Language Processing Advancements By Deep Learning: A SurveyCode1
Adapting Pretrained Transformer to Lattices for Spoken Language UnderstandingCode1
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech TranslationCode1
Dual-Path Style Learning for End-to-End Noise-Robust Speech RecognitionCode1
DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question AnsweringCode1
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden UnitsCode1
Improving Transformer-based Speech Recognition Using Unsupervised Pre-trainingCode1
Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration ModelingCode1
Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LMCode1
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control CommunicationsCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
On the Comparison of Popular End-to-End Models for Large Scale Speech RecognitionCode1
A Systematic Comparison of Phonetic Aware Techniques for Speech EnhancementCode1
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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