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

Showing 551575 of 3012 papers

TitleStatusHype
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
Did you hear that? Adversarial Examples Against Automatic Speech RecognitionCode0
BERT Attends the Conversation: Improving Low-Resource Conversational ASRCode0
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European LanguagesCode0
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics ProcessingCode0
Discrete Speech Unit Extraction via Independent Component AnalysisCode0
ADIMA: Abuse Detection In Multilingual AudioCode0
Comparison and Analysis of New Curriculum Criteria for End-to-End ASRCode0
Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of WolofCode0
Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech RecognitionCode0
BehancePR: A Punctuation Restoration Dataset for Livestreaming Video TranscriptCode0
Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken SentencesCode0
CAT: CRF-based ASR ToolkitCode0
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA ProjectCode0
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based DecodingCode0
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasksCode0
BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation SystemCode0
Bringing NURC/SP to Digital Life: the Role of Open-source Automatic Speech Recognition ModelsCode0
Cascaded Cross-Modal Transformer for Audio-Textual ClassificationCode0
CHSER: A Dataset and Case Study on Generative Speech Error Correction for Child ASRCode0
Conditional independence for pretext task selection in Self-supervised speech representation learningCode0
Enhancing Quantised End-to-End ASR Models via PersonalisationCode0
Multimodal Speech Recognition for Language-Guided Embodied AgentsCode0
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge0
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge0
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Benchmark Results

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