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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 2126–2150 of 3012 papers

TitleStatusHype
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition—0
Robust Prediction of Punctuation and Truecasing for Medical ASR—0
Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University—0
Towards Understanding ASR Error Correction for Medical Conversations—0
Large Vocabulary Read Speech Corpora for Four Ethiopian Languages: Amharic, Tigrigna, Oromo, and Wolaytta—0
The AFRL IWSLT 2020 Systems: Work-From-Home Edition—0
Robust Neural Machine Translation with ASR Errors—0
Tigrinya Automatic Speech recognition with Morpheme based recognition units—0
End-to-End Offline Speech Translation System for IWSLT 2020 using Modality Agnostic Meta-Learning—0
CUNI Neural ASR with Phoneme-Level Intermediate Step for -Native at IWSLT 2020—0
Towards Stream Translation: Adaptive Computation Time for Simultaneous Machine Translation—0
Multimodal and Multiresolution Speech Recognition with Transformers—0
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions—0
How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems—0
SimulSpeech: End-to-End Simultaneous Speech to Text Translation—0
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations—0
Multi-view Frequency LSTM: An Efficient Frontend for Automatic Speech Recognition—0
Streaming Transformer ASR with Blockwise Synchronous Inference—0
Neural Machine Translation for Multilingual Grapheme-to-Phoneme Conversion—0
Joint Speaker Counting, Speech Recognition, and Speaker Identification for Overlapped Speech of Any Number of Speakers—0
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples—0
Automatic Speech Recognition Benchmark for Air-Traffic CommunicationsCode1
Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework—0
End-to-End Code Switching Language Models for Automatic Speech Recognition—0
Towards Automated Assessment of Stuttering and Stuttering Therapy—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