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

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Showing 2951–3000 of 3012 papers

TitleStatusHype
Feature selection using Fisher's ratio technique for automatic speech recognition—0
Entity Linking for Spoken Language—0
Sentence segmentation of aphasic speech—0
An Incremental Algorithm for Transition-based CCG Parsing—0
Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances—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
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution—0
Deep Recurrent Neural Networks for Acoustic Modelling—0
Transferring Knowledge from a RNN to a DNN—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
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license—0
TUKE-BNews-SK: Slovak Broadcast News Corpus Construction and Evaluation—0
Multimodal Corpora for Silent Speech Interaction—0
Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish—0
Euronews: a multilingual speech corpus for ASR—0
A Corpus and Phonetic Dictionary for Tunisian Arabic Speech Recognition—0
Exploiting the large-scale German Broadcast Corpus to boost the Fraunhofer IAIS Speech Recognition System—0
HESITA(te) in Portuguese—0
The ETAPE speech processing evaluation—0
CORILGA: a Galician Multilevel Annotated Speech Corpus for Linguistic Analysis—0
The Nijmegen Corpus of Casual Czech—0
The WaveSurfer Automatic Speech Recognition Plugin—0
ASR-based CALL systems and learner speech data: new resources and opportunities for research and development in second language learning—0
The Slovene BNSI Broadcast News database and reference speech corpus GOS: Towards the uniform guidelines for future work—0
Student achievement and French sentence repetition test scores—0
El-WOZ: a client-server wizard-of-oz interface—0
Speech Recognition Web Services for Dutch—0
Speech Recognition Front End Without Information Loss—0
A Subband-Based SVM Front-End for Robust ASR—0
Error Detection in Automatic Speech Recognition—0
A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition—0
Local Feature or Mel Frequency Cepstral Coefficients - Which One is Better for MLN-Based Bangla Speech Recognition?—0
Improving Language Model Adaptation using Automatic Data Selection and Neural Network—0
Automatic speech recognition in the diagnosis of primary progressive aphasia—0
homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition—0
Automating speech reception threshold measurements using automatic speech recognition—0
Analyzing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?—0
Automatic Speech Recognition: A Shifted Role in Early Speech Intervention?—0
Automatic Speech Recognition Using Template Model for Man-Machine Interface—0
Opportunities & Challenges In Automatic Speech Recognition—0
Speech Enhancement Modeling Towards Robust Speech Recognition System—0
Analysis of Phonetic Transcription for Danish Automatic Speech Recognition—0
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks—0
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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