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 62016250 of 6433 papers

TitleStatusHype
Splitformer: An improved early-exit architecture for automatic speech recognition on edge devicesCode0
Realizing Petabyte Scale Acoustic ModelingCode0
SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different LanguagesCode0
Long short-term memory and learning-to-learn in networks of spiking neuronsCode0
Sequence Labeling Approach to the Task of Sentence Boundary DetectionCode0
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech RecognitionCode0
End-to-End Speech Recognition From the Raw WaveformCode0
Spoken English Intelligibility Remediation with PocketSphinx Alignment and Feature Extraction Improves Substantially over the State of the ArtCode0
Long-term Conversation Analysis: Exploring Utility and PrivacyCode0
Real-time low-resource phoneme recognition on edge devicesCode0
Discrete Speech Unit Extraction via Independent Component AnalysisCode0
TF-LM: TensorFlow-based Language Modeling ToolkitCode0
Thai Wav2Vec2.0 with CommonVoice V8Code0
Sequence Modeling via SegmentationsCode0
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech RecognitionCode0
Spoken Language Intent Detection using Confusion2VecCode0
Transfer Learning for Speech Recognition on a BudgetCode0
OkwuGbé: End-to-End Speech Recognition for Fon and IgboCode0
Discrete Cross-Modal Alignment Enables Zero-Shot Speech TranslationCode0
OLISIA: a Cascade System for Spoken Dialogue State TrackingCode0
End-to-End Speech Recognition and Disfluency Removal with Acoustic Language Model PretrainingCode0
Low Frequency Adversarial PerturbationCode0
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR ModelsCode0
Low-Latency Sequence-to-Sequence Speech Recognition and Translation by Partial Hypothesis SelectionCode0
End-to-End Open Vocabulary Keyword Search With Multilingual Neural RepresentationsCode0
A low latency attention module for streaming self-supervised speech representation learningCode0
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and DereverberationCode0
Discovering Phonetic Inventories with Crosslingual Automatic Speech RecognitionCode0
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European LanguagesCode0
THCHS-30 : A Free Chinese Speech CorpusCode0
Sequence-to-Sequence Modeling for Action Identification at High Temporal ResolutionCode0
Sequence-to-Sequence Models Can Directly Translate Foreign SpeechCode0
ChatGPT in the context of precision agriculture data analyticsCode0
SQ-Whisper: Speaker-Querying based Whisper Model for Target-Speaker ASRCode0
Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech RecognitionCode0
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature ExtractorsCode0
On-Device Neural Language Model Based Word PredictionCode0
Sequence Transduction with Recurrent Neural NetworksCode0
Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign LanguageCode0
SSR7000: A Synchronized Corpus of Ultrasound Tongue Imaging for End-to-End Silent Speech RecognitionCode0
LRS3-TED: a large-scale dataset for visual speech recognitionCode0
Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech RecognitionCode0
LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the WildCode0
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA ProjectCode0
Sequential Randomized Smoothing for Adversarially Robust Speech RecognitionCode0
Sequential Routing Framework: Fully Capsule Network-based Speech RecognitionCode0
LSTM: A Search Space OdysseyCode0
LSTM Benchmarks for Deep Learning FrameworksCode0
Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial DomainCode0
Stable Distillation: Regularizing Continued Pre-training for Low-Resource Automatic Speech RecognitionCode0
Show:102550
← PrevPage 125 of 129Next →

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