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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 9761000 of 3012 papers

TitleStatusHype
A Persian ASR-based SER: Modification of Sharif Emotional Speech Database and Investigation of Persian Text CorporaCode1
Hey ASR System! Why Aren't You More Inclusive? Automatic Speech Recognition Systems' Bias and Proposed Bias Mitigation Techniques. A Literature Review0
Unsupervised Model-based speaker adaptation of end-to-end lattice-free MMI model for speech recognition0
LongFNT: Long-form Speech Recognition with Factorized Neural Transducer0
On using the UA-Speech and TORGO databases to validate automatic dysarthric speech classification approaches0
Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer0
Introducing Semantics into Speech Encoders0
Towards A Unified Conformer Structure: from ASR to ASV TaskCode2
Handling Trade-Offs in Speech Separation with Sparsely-Gated Mixture of Experts0
The Far Side of Failure: Investigating the Impact of Speech Recognition Errors on Subsequent Dementia ClassificationCode0
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation0
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding0
Adaptive Multi-Corpora Language Model Training for Speech Recognition0
Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition0
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control CommunicationsCode1
Towards Improved Room Impulse Response Estimation for Speech RecognitionCode1
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR ErrorsCode0
Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition0
End-to-End Evaluation of a Spoken Dialogue System for Learning Basic Mathematics0
Bridging Speech and Textual Pre-trained Models with Unsupervised ASR0
Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspective0
LAMASSU: Streaming Language-Agnostic Multilingual Speech Recognition and Translation Using Neural Transducers0
Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech0
Multi-blank Transducers for Speech RecognitionCode1
Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion0
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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