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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 3012 papers

TitleStatusHype
Accented Speech Recognition With Accent-specific CodebooksCode1
Leveraging Timestamp Information for Serialized Joint Streaming Recognition and Translation—0
Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation—0
Intelligibility prediction with a pretrained noise-robust automatic speech recognition model—0
Unintended Memorization in Large ASR Models, and How to Mitigate It—0
Generative error correction for code-switching speech recognition using large language models—0
Iterative Shallow Fusion of Backward Language Model for End-to-End Speech Recognition—0
Advanced accent/dialect identification and accentedness assessment with multi-embedding models and automatic speech recognition—0
Correction Focused Language Model Training for Speech Recognition—0
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System—0
Zipformer: A faster and better encoder for automatic speech recognition—0
Detecting Speech Abnormalities with a Perceiver-based Sequence Classifier that Leverages a Universal Speech Model—0
Advancing Test-Time Adaptation in Wild Acoustic Test SettingsCode1
Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring—0
SALM: Speech-augmented Language Model with In-context Learning for Speech Recognition and Translation—0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition—0
Adapting the adapters for code-switching in multilingual ASRCode0
Discriminative Speech Recognition Rescoring with Pre-trained Language Models—0
Acoustic Model Fusion for End-to-end Speech Recognition—0
No Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation—0
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech RecognitionCode2
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis—0
ed-cec: improving rare word recognition using asr postprocessing based on error detection and context-aware error correctionCode0
Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition—0
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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