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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

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Showing 176–200 of 3012 papers

TitleStatusHype
Back Translation for Speech-to-text Translation Without TranscriptsCode1
A Hybrid Continuity Loss to Reduce Over-Suppression for Time-domain Target Speaker ExtractionCode1
End-to-end Audio-visual Speech Recognition with ConformersCode1
End-to-End Speech Recognition and Disfluency RemovalCode1
End-to-End Speech Recognition from Federated Acoustic ModelsCode1
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG dataCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
Evolutionary Prompt Design for LLM-Based Post-ASR Error CorrectionCode1
ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of KaldiCode1
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation ModelsCode1
Fast Development of ASR in African Languages using Self Supervised Speech Representation LearningCode1
Automatic Speech Recognition for Speech Assessment of Persian Preschool ChildrenCode1
Automatic Speech Recognition Benchmark for Air-Traffic CommunicationsCode1
A Cross-Modal Approach to Silent Speech with LLM-Enhanced RecognitionCode1
FlanEC: Exploring Flan-T5 for Post-ASR Error CorrectionCode1
Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNetCode1
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language ModelsCode1
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer LearningCode1
Improved Noisy Student Training for Automatic Speech RecognitionCode1
Improving RNN Transducer Based ASR with Auxiliary TasksCode1
Improving Self-supervised Pre-training using Accent-Specific CodebooksCode1
Incorporating External POS Tagger for Punctuation RestorationCode1
indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languagesCode1
Automatic Disfluency Detection from Untranscribed SpeechCode1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task LearningCode1
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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