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 35513600 of 6433 papers

TitleStatusHype
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
Bounds on mutual information of mixture data for classification tasks0
Transformer Based Deliberation for Two-Pass Speech Recognition0
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec0
A Review of Speaker Diarization: Recent Advances with Deep Learning0
Understanding the Tradeoffs in Client-side Privacy for Downstream Speech TasksCode0
Streaming Models for Joint Speech Recognition and Translation0
Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition0
Arabic Speech Recognition by End-to-End, Modular Systems and HumanCode0
Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech0
VOTE400(Voide Of The Elderly 400 Hours): A Speech Dataset to Study Voice Interface for Elderly-Care0
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled DataCode1
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition0
Fast offline Transformer-based end-to-end automatic speech recognition for real-world applications0
An evaluation of word-level confidence estimation for end-to-end automatic speech recognition0
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm0
Learning Efficient Representations for Keyword Spotting with Triplet LossCode1
BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification0
Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings0
Domain-aware Neural Language Models for Speech Recognition0
Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional DataCode0
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and InterpretationCode1
DEVI: Open-source Human-Robot Interface for Interactive Receptionist SystemsCode0
HMM-based phoneme speech recognition system for the control and command of industrial robots0
Why Does Decentralized Training Outperform Synchronous Training In The Large Batch Setting?0
The simpler the better: vanilla sgd revisited0
Learning Monotonic Alignments with Source-Aware GMM Attention0
Uncertain Out-of-Domain Generalization0
Learning without Forgetting: Task Aware Multitask Learning for Multi-Modality Tasks0
Sparsifying Networks via Subdifferential Inclusion0
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition0
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear MapsCode1
Multi-channel Multi-frame ADL-MVDR for Target Speech Separation0
Speech Synthesis as Augmentation for Low-Resource ASR0
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning0
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition0
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews0
Applying Wav2vec2.0 to Speech Recognition in Various Low-resource Languages0
Scalable Optical Learning OperatorCode1
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval0
Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition0
Toward Streaming ASR with Non-Autoregressive Insertion-based Model0
CIF-based Collaborative Decoding for End-to-end Contextual Speech Recognition0
User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis0
Exploring Transfer Learning For End-to-End Spoken Language Understanding0
Pre-Training Transformers as Energy-Based Cloze Models0
Part-based Lipreading for Audio-Visual Speech Recognition0
A review of on-device fully neural end-to-end automatic speech recognition algorithms0
AV Taris: Online Audio-Visual Speech RecognitionCode1
Bayesian Learning for Deep Neural Network AdaptationCode0
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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