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 5175 of 3012 papers

TitleStatusHype
4-bit Conformer with Native Quantization Aware Training for Speech RecognitionCode2
CMGAN: Conformer-based Metric GAN for Speech EnhancementCode2
Robust Self-Supervised Audio-Visual Speech RecognitionCode2
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster PredictionCode2
Fast Transformers with Clustered AttentionCode2
Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across ModalitiesCode1
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech RecognitionCode1
DuplexMamba: Enhancing Real-time Speech Conversations with Duplex and Streaming CapabilitiesCode1
VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR IdentificationCode1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsCode1
Sagalee: an Open Source Automatic Speech Recognition Dataset for Oromo LanguageCode1
FlanEC: Exploring Flan-T5 for Post-ASR Error CorrectionCode1
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-FormulaCode1
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
VHASR: A Multimodal Speech Recognition System With Vision HotwordsCode1
Mamba for Streaming ASR Combined with Unimodal AggregationCode1
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech RecognitionCode1
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic FeaturesCode1
Evolutionary Prompt Design for LLM-Based Post-ASR Error CorrectionCode1
Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for PolishCode1
Vibravox: A Dataset of French Speech Captured with Body-conduction Audio SensorsCode1
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation ModelsCode1
Improving Self-supervised Pre-training using Accent-Specific CodebooksCode1
Pinyin Regularization in Error Correction for Chinese Speech Recognition with Large Language ModelsCode1
ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMsCode1
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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