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

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Showing 3301–3350 of 6433 papers

TitleStatusHype
4-bit Quantization of LSTM-based Speech Recognition Models—0
Task-aware Warping Factors in Mask-based Speech Enhancement—0
Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching—0
Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement—0
Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network—0
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR—0
Reducing Exposure Bias in Training Recurrent Neural Network Transducers—0
Graph Neural Networks: Methods, Applications, and Opportunities—0
Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease—0
A Unified Transformer-based Framework for Duplex Text Normalization—0
Automatic Speech Recognition And Limited Vocabulary: A Survey—0
Generalizing RNN-Transducer to Out-Domain Audio via Sparse Self-Attention Layers—0
Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer—0
A Dual-Decoder Conformer for Multilingual Speech Recognition—0
Hierarchical Summarization for Longform Spoken Dialog—0
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition—0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems—0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
Multilingual training set selection for ASR in under-resourced Malian languages—0
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition—0
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition—0
End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive EnvelopesCode0
Time-Frequency Localization Using Deep Convolutional Maxout Neural Network in Persian Speech Recognition—0
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation—0
An empirical assessment of deep learning approaches to task-oriented dialog management—0
Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading—0
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach—0
Fast frequency modulation is encoded according to the listener expectations in the human subcortical auditory pathway—0
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation—0
Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification—0
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features—0
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity—0
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation—0
Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization—0
Learning a Neural Diff for Speech Models—0
Amortized Neural Networks for Low-Latency Speech Recognition—0
The Role of Phonetic Units in Speech Emotion Recognition—0
Adversarial Data Augmentation for Disordered Speech Recognition—0
Decoupling recognition and transcription in Mandarin ASR—0
Automatic recognition of suprasegmentals in speech—0
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks—0
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems—0
On Knowledge Distillation for Translating Erroneous Speech Transcriptions—0
基于改进Conformer的新闻领域端到端语音识别(End-to-End Speech Recognition in News Field based on Conformer)—0
Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction—0
KIT’s IWSLT 2021 Offline Speech Translation System—0
Interactive Reinforcement Learning for Table Balancing Robot—0
Automatic generation of a 3D sign language avatar on AR glasses given 2D videos of human signers—0
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus—0
IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task—0
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All datasetsLibriSpeech test-cleanLibriSpeech test-otherSwitchboard + Hub500TIMITAISHELL-1WSJ eval92Common Voice Germanswb_hub_500 WER fullSWBCHTUDACommon Voice FrenchCommon Voice SpanishMediaSpeech

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AmNetWord Error Rate (WER)8.6—Unverified
2HMM-(SAT)GMMWord Error Rate (WER)8—Unverified
3Local Prior Matching (Large Model)Word Error Rate (WER)7.19—Unverified
4SnipsWord Error Rate (WER)6.4—Unverified
5Li-GRUWord Error Rate (WER)6.2—Unverified
6HMM-DNN + pNorm*Word Error Rate (WER)5.5—Unverified
7CTC + policy learningWord Error Rate (WER)5.42—Unverified
8Deep Speech 2Word Error Rate (WER)5.33—Unverified
9Gated ConvNetsWord Error Rate (WER)4.8—Unverified
10HMM-TDNN + iVectorsWord Error Rate (WER)4.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Local Prior Matching (Large Model)Word Error Rate (WER)20.84—Unverified
2SnipsWord Error Rate (WER)16.5—Unverified
3Local Prior Matching (Large Model, ConvLM LM)Word Error Rate (WER)15.28—Unverified
4Deep Speech 2Word Error Rate (WER)13.25—Unverified
5TDNN + pNorm + speed up/down speechWord Error Rate (WER)12.5—Unverified
6CTC-CRF 4gram-LMWord Error Rate (WER)10.65—Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)10.47—Unverified
8MT4SSLWord Error Rate (WER)9.6—Unverified
9Jasper DR 10x5Word Error Rate (WER)8.79—Unverified
10EspressoWord Error Rate (WER)8.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error20—Unverified
2DNN-HMMPercentage error18.5—Unverified
3CD-DNNPercentage error16.1—Unverified
4DNNPercentage error16—Unverified
5DNN + DropoutPercentage error15—Unverified
6DNN BMMIPercentage error12.9—Unverified
7HMM-TDNN + pNorm + speed up/down speechPercentage error12.9—Unverified
8DNN MPEPercentage error12.9—Unverified
9DNN MMIPercentage error12.9—Unverified
10CNN + Bi-RNN + CTC (speech to letters), 25.9% WER if trainedonlyon SWBPercentage error12.6—Unverified
#ModelMetricClaimedVerifiedStatus
1LSNNPercentage error33.2—Unverified
2LAS multitask with indicators samplingPercentage error20.4—Unverified
3Soft Monotonic Attention (ours, offline)Percentage error20.1—Unverified
4QCNN-10L-256FMPercentage error19.64—Unverified
5Bi-LSTM + skip connections w/ CTCPercentage error17.7—Unverified
6Bi-RNN + AttentionPercentage error17.6—Unverified
7RNN-CRF on 24(x3) MFSCPercentage error17.3—Unverified
8CNN in time and frequency + dropout, 17.6% w/o dropoutPercentage error16.7—Unverified
9Light Gated Recurrent UnitsPercentage error16.7—Unverified
10GRUPercentage error16.6—Unverified
#ModelMetricClaimedVerifiedStatus
1AttWord Error Rate (WER)18.7—Unverified
2CTC/AttWord Error Rate (WER)6.7—Unverified
3BRA-EWord Error Rate (WER)6.63—Unverified
4CTC-CRF 4gram-LMWord Error Rate (WER)6.34—Unverified
5BATWord Error Rate (WER)4.97—Unverified
6ParaformerWord Error Rate (WER)4.95—Unverified
7U2Word Error Rate (WER)4.72—Unverified
8UMAWord Error Rate (WER)4.7—Unverified
9Lightweight TransducerWord Error Rate (WER)4.31—Unverified
10CIF-HKD With LMWord Error Rate (WER)4.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Jasper 10x3Word Error Rate (WER)6.9—Unverified
2CNN over RAW speech (wav)Word Error Rate (WER)5.6—Unverified
3CTC-CRF 4gram-LMWord Error Rate (WER)3.79—Unverified
4Deep Speech 2Word Error Rate (WER)3.6—Unverified
5test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm*Word Error Rate (WER)3.6—Unverified
6TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5—Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)3.5—Unverified
8EspressoWord Error Rate (WER)3.4—Unverified
9CTC-CRF VGG-BLSTMWord Error Rate (WER)3.2—Unverified
10Transformer with Relaxed AttentionWord Error Rate (WER)3.19—Unverified