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 2701–2750 of 3012 papers

TitleStatusHype
Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator—0
Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation—0
Text-To-Speech Data Augmentation for Low Resource Speech Recognition—0
Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition—0
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages—0
The 2015 Sheffield System for Transcription of Multi-Genre Broadcast Media—0
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t—0
The AFRL IWSLT 2020 Systems: Work-From-Home Edition—0
The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese—0
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios—0
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge—0
The DIRHA Portuguese Corpus: A Comparison of Home Automation Command Detection and Recognition in Simulated and Real Data.—0
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR—0
The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages—0
The ETAPE speech processing evaluation—0
The evaluation of a code-switched Sepedi-English automatic speech recognition system—0
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems—0
The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines—0
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning—0
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation—0
The HW-TSC’s Offline Speech Translation System for IWSLT 2022 Evaluation—0
The IBM 2016 Speaker Recognition System—0
The IBM Speaker Recognition System: Recent Advances and Error Analysis—0
The ILMT-s2s Corpus ― A Multimodal Interlingual Map Task Corpus—0
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR—0
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software—0
The IWSLT 2016 Evaluation Campaign—0
The IWSLT 2021 BUT Speech Translation Systems—0
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge—0
The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition—0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task—0
The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?—0
The Nijmegen Corpus of Casual Czech—0
The Norwegian Parliamentary Speech Corpus—0
The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities—0
Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic InformationCode0
Kurdish (Sorani) Speech to Text: Presenting an Experimental DatasetCode0
Iterative Pseudo-Labeling for Speech RecognitionCode0
Continual Learning for Monolingual End-to-End Automatic Speech RecognitionCode0
Personalizing ASR for Dysarthric and Accented Speech with Limited DataCode0
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter ItCode0
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptationCode0
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification TasksCode0
Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced LanguagesCode0
PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech DialogsCode0
Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation EvaluationCode0
AfriHuBERT: A self-supervised speech representation model for African languagesCode0
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance GapsCode0
Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn'tCode0
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR ErrorsCode0
Show:102550
← PrevPage 55 of 61Next →
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