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 30513100 of 6433 papers

TitleStatusHype
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection0
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages0
A Decidability-Based Loss Function0
Remember the context! ASR slot error correction through memorization0
Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition0
Large-vocabulary Audio-visual Speech Recognition in Noisy Environments0
DeepEMO: Deep Learning for Speech Emotion RecognitionCode0
Datasets: A Community Library for Natural Language ProcessingCode3
Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary ModelCode0
A brief history of AI: how to prevent another winter (a critical review)0
Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks0
Vietnamese end-to-end speech recognition using wav2vec 2.0Code1
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
Coarse-To-Fine And Cross-Lingual ASR Transfer0
Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech0
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition0
You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event DetectionCode1
Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognitionCode1
Europarl-ASR: A Large Corpus of Parliamentary Debates for Streaming ASR Benchmarking and Speech Data Filtering/Verbatimization0
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding0
Multi-Channel Transformer Transducer for Speech Recognition0
A Multimodal Framework for Video Ads Understanding0
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech0
Goal-driven text descriptions for images0
Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching0
Improving callsign recognition with air-surveillance data in air-traffic communication0
4-bit Quantization of LSTM-based Speech Recognition Models0
Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition0
Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement0
Injecting Text in Self-Supervised Speech Pretraining0
Task-aware Warping Factors in Mask-based Speech Enhancement0
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network0
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR0
Graph Neural Networks: Methods, Applications, and Opportunities0
Reducing Exposure Bias in Training Recurrent Neural Network Transducers0
Automatic Speech Recognition And Limited Vocabulary: A Survey0
A Unified Transformer-based Framework for Duplex Text Normalization0
Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease0
Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer0
A Dual-Decoder Conformer for Multilingual Speech Recognition0
Generalizing RNN-Transducer to Out-Domain Audio via Sparse Self-Attention Layers0
Hierarchical Summarization for Longform Spoken Dialog0
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants0
Multilingual training set selection for ASR in under-resourced Malian languages0
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition0
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition0
End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive EnvelopesCode0
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation0
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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