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 22512300 of 6433 papers

TitleStatusHype
Learning a Dual-Mode Speech Recognition Model via Self-Pruning0
Unsupervised data selection for Speech Recognition with contrastive loss ratios0
A Deep Dive into Deep Cluster0
Improving Mandarin Speech Recogntion with Block-augmented TransformerCode1
Implementation Of Tiny Machine Learning Models On Arduino 33 BLE For Gesture And Speech Recognition0
ASR Error Detection via Audio-Transcript entailment0
Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities0
Bayesian Recurrent Units and the Forward-Backward AlgorithmCode0
AutoDiCE: Fully Automated Distributed CNN Inference at the EdgeCode1
When Is TTS Augmentation Through a Pivot Language Useful?Code0
Transfer Learning of wav2vec 2.0 for Automatic Lyric TranscriptionCode1
Improving Data Driven Inverse Text Normalization using Data Augmentation0
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding0
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale0
WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification0
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting0
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation0
Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees0
MAC-DO: An Efficient Output-Stationary GEMM Accelerator for CNNs Using DRAM Technology0
Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments0
Position Prediction as an Effective Pretraining StrategyCode0
Two-Pass Low Latency End-to-End Spoken Language Understanding0
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models0
Data Augmentation for Low-Resource Quechua ASR Improvement0
Open Terminology Management and Sharing Toolkit for Federation of Terminology Databases0
u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled ModalityCode2
Efficient spike encoding algorithms for neuromorphic speech recognition0
MM-ALT: A Multimodal Automatic Lyric Transcription SystemCode1
Visual Context-driven Audio Feature Enhancement for Robust End-to-End Audio-Visual Speech RecognitionCode1
Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition0
End-to-end speech recognition modeling from de-identified data0
Online Continual Learning of End-to-End Speech Recognition Models0
pMCT: Patched Multi-Condition Training for Robust Speech Recognition0
Speaker Anonymization with Phonetic Intermediate Representations0
Intermediate-layer output Regularization for Attention-based Speech Recognition with Shared Decoder0
Internal Language Model Estimation based Language Model Fusion for Cross-Domain Code-Switching Speech Recognition0
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription0
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition0
Non-Linear Pairwise Language Mappings for Low-Resource Multilingual Acoustic Model Fusion0
End-to-end Speech-to-Punctuated-Text Recognition0
Low-resource Low-footprint Wake-word Detection using Knowledge Distillation0
Kaggle Competition: Cantonese Audio-Visual Speech Recognition for In-car Commands0
Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies0
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding0
Compute Cost Amortized Transformer for Streaming ASR0
DEFORMER: Coupling Deformed Localized Patterns with Global Context for Robust End-to-end Speech Recognition0
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionCode1
Vietnamese Capitalization and Punctuation Recovery ModelsCode0
Generating gender-ambiguous voices for privacy-preserving speech recognitionCode0
Leveraging Acoustic Contextual Representation by Audio-textual Cross-modal Learning for Conversational ASR0
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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