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 38013850 of 6433 papers

TitleStatusHype
Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data0
Reconnaissance automatique de la parole distante dans un habitat intelligent : m\'ethodes multi-sources en conditions r\'ealistes (Distant Speech Recognition in a Smart Home : Comparison of Several Multisource ASRs in Realistic Conditions) [in French]0
Reconnaissance automatique de la parole : g\'en\'eration des prononciations non natives pour l'enrichissement du lexique (In this study we propose a method for lexicon adaptation in order to improve the automatic speech recognition (ASR) of non-native speakers)0
Reconstructing Speech Stimuli From Human Auditory Cortex Activity Using a WaveNet Approach0
Record Deduplication for Entity Distribution Modeling in ASR Transcripts0
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts0
Recurrent Deep Stacking Networks for Speech Recognition0
Recurrent Models for Auditory Attention in Multi-Microphone Distance Speech Recognition0
遞迴式類神經網路語言模型應用額外資訊於語音辨識之研究 (Recurrent Neural Network-based Language Modeling with Extra Information Cues for Speech Recognition) [In Chinese]0
Recurrent Neural Network-based Tuple Sequence Model for Machine Translation0
Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey0
Recurrent Neural Networks (RNNs): A gentle Introduction and Overview0
Recurrent Neural Network Training with Dark Knowledge Transfer0
Recurrent Neural Network with Word Embedding for Complaint Classification0
Recurrent Polynomial Network for Dialogue State Tracking with Mismatched Semantic Parsers0
RED-ACE: Robust Error Detection for ASR using Confidence Embeddings0
Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis0
Rediscovering 15 Years of Discoveries in Language Resources and Evaluation: The LREC Anthology Analysis0
Reduce and Reconstruct: ASR for Low-Resource Phonetic Languages0
Reducing Exposure Bias in Training Recurrent Neural Network Transducers0
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation0
Reducing language context confusion for end-to-end code-switching automatic speech recognition0
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss0
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation0
Reduction of Non-stationary Noise for a Robotic Living Assistant using Sparse Non-negative Matrix Factorization0
Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance0
Refining Automatic Speech Recognition System for older adults0
Refining Self-Supervised Learnt Speech Representation using Brain Activations0
Regeneration Learning: A Learning Paradigm for Data Generation0
Regularized Forward-Backward Decoder for Attention Models0
Regularizing Contrastive Predictive Coding for Speech Applications0
Regularizing Learnable Feature Extraction for Automatic Speech Recognition0
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition0
Reinforcement Learning of Multi-Issue Negotiation Dialogue Policies0
Reinforcement Learning of Speech Recognition System Based on Policy Gradient and Hypothesis Selection0
Relative Positional Encoding for Speech Recognition and Direct Translation0
Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions0
Remember the context! ASR slot error correction through memorization0
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients0
Remote Speech Technology for Speech Professionals - the CloudCAST initiative0
Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction0
Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition0
Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems0
Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications0
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT0
RescueSpeech: A German Corpus for Speech Recognition in Search and Rescue Domain0
Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks0
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper0
Research on an improved Conformer end-to-end Speech Recognition Model with R-Drop Structure0
Research on Modeling Units of Transformer Transducer for Mandarin Speech Recognition0
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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