SOTAVerified

Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2951–2975 of 3012 papers

TitleStatusHype
Feature selection using Fisher's ratio technique for automatic speech recognition—0
Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non-Native Speakers of Three Major Languages in Dictation Workflows—0
Entity Linking for Spoken Language—0
Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances—0
An Incremental Algorithm for Transition-based CCG Parsing—0
Sentence segmentation of aphasic speech—0
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution—0
Transferring Knowledge from a RNN to a DNN—0
Deep Recurrent Neural Networks for Acoustic Modelling—0
Modeling State-Conditional Observation Distribution using Weighted Stereo Samples for Factorial Speech Processing Models—0
Maximum a Posteriori Adaptation of Network Parameters in Deep Models—0
Deep Multimodal Learning for Audio-Visual Speech Recognition—0
Learning linearly separable features for speech recognition using convolutional neural networks—0
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets—0
Spatial Diffuseness Features for DNN-Based Speech Recognition in Noisy and Reverberant Environments—0
Quality Estimation for Automatic Speech Recognition—0
Recognition of Isolated Words using Zernike and MFCC features for Audio Visual Speech Recognition—0
Exploiting the large-scale German Broadcast Corpus to boost the Fraunhofer IAIS Speech Recognition System—0
El-WOZ: a client-server wizard-of-oz interface—0
A Corpus and Phonetic Dictionary for Tunisian Arabic Speech Recognition—0
HESITA(te) in Portuguese—0
The WaveSurfer Automatic Speech Recognition Plugin—0
The Slovene BNSI Broadcast News database and reference speech corpus GOS: Towards the uniform guidelines for future work—0
CORILGA: a Galician Multilevel Annotated Speech Corpus for Linguistic Analysis—0
Multimodal Corpora for Silent Speech Interaction—0
Show:102550
← PrevPage 119 of 121Next →
All datasetsLRS2RealMANSagaleeHUI speech corpusLRS3-TEDM-AILabs speech datasetThe Spoken Wikipedia CorporaVoxforge GermanVoxPopuli

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1—Unverified
2TM-seq2seqTest WER9.7—Unverified
3CTC/attentionTest WER8.2—Unverified
4LF-MMI TDNNTest WER6.7—Unverified
5Whisper-LLaMATest WER6.6—Unverified
6End2end ConformerTest WER3.9—Unverified
7End2end ConformerTest WER3.7—Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7—Unverified
9CTC/AttentionTest WER1.5—Unverified
10WhisperTest WER1.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5—Unverified
2CleanMel-L-maskCER14.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32—Unverified
2Whisper-largev3-finetunedTest WER10.82—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89—Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98—Unverified