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 12011250 of 6433 papers

TitleStatusHype
Deep convolutional acoustic word embeddings using word-pair side informationCode0
DeepCover: Advancing RNN Test Coverage and Online Error Prediction using State Machine ExtractionCode0
Decoding P300 Variability using Convolutional Neural NetworksCode0
DeepEMO: Deep Learning for Speech Emotion RecognitionCode0
CAT: CRF-based ASR ToolkitCode0
Graph Neural Networks for Contextual ASR with the Tree-Constrained Pointer GeneratorCode0
Blank Collapse: Compressing CTC emission for the faster decodingCode0
DecoderLens: Layerwise Interpretation of Encoder-Decoder TransformersCode0
Deep-FSMN for Large Vocabulary Continuous Speech RecognitionCode0
Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural NetworksCode0
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech RecognitionCode0
Biometrics Recognition Using Deep Learning: A SurveyCode0
Hierarchical Text Generation using an OutlineCode0
Data augmentation using prosody and false starts to recognize non-native children's speechCode0
Cross-lingual Transfer for Speech Processing using Acoustic Language SimilarityCode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial DomainCode0
Coupled Training of Sequence-to-Sequence Models for Accented Speech RecognitionCode0
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy PreservationCode0
Big model only for hard audios: Sample dependent Whisper model selection for efficient inferencesCode0
Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning FusionCode0
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanismCode0
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech RecognitionCode0
Bigger is not Always Better: The Effect of Context Size on Speech Pre-TrainingCode0
Convolutional Neural Network Language ModelsCode0
ADIMA: Abuse Detection In Multilingual AudioCode0
Convolutional Neural Network for Paraphrase IdentificationCode0
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech RecognitionCode0
Creating Speech-to-Speech Corpus from Dubbed SeriesCode0
Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional DataCode0
Continual Learning for Monolingual End-to-End Automatic Speech RecognitionCode0
Improved Speech Enhancement with the Wave-U-NetCode0
Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech RecognitionCode0
Bi-Directional Lattice Recurrent Neural Networks for Confidence EstimationCode0
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language UnderstandingCode0
Contaminated speech training methods for robust DNN-HMM distant speech recognitionCode0
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature ExtractorsCode0
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA ProjectCode0
Consistent Transcription and Translation of SpeechCode0
Context-Aware Dialog Re-Ranking for Task-Oriented Dialog SystemsCode0
Improving RNN Transducer Modeling for End-to-End Speech RecognitionCode0
Connectionist Temporal Classification with Maximum Entropy RegularizationCode0
Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural NetworksCode0
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition SystemsCode0
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural NetworksCode0
Conformer-based Target-Speaker Automatic Speech Recognition for Single-Channel AudioCode0
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in VideoCode0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
Conditional independence for pretext task selection in Self-supervised speech representation learningCode0
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error ClassificationsCode0
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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