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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 501–550 of 3012 papers

TitleStatusHype
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature ExtractorsCode0
End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive EnvelopesCode0
End-to-End Learning of Speech 2D Feature-Trajectory for Prosthetic HandsCode0
End to End ASR System with Automatic Punctuation InsertionCode0
End-to-End Open Vocabulary Keyword Search With Multilingual Neural RepresentationsCode0
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech RecognitionCode0
Enhancing Quantised End-to-End ASR Models via PersonalisationCode0
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural NetworkCode0
Effects of Layer Freezing on Transferring a Speech Recognition System to Under-resourced LanguagesCode0
Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech RecognitionCode0
Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal ModelsCode0
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based DecodingCode0
ed-cec: improving rare word recognition using asr postprocessing based on error detection and context-aware error correctionCode0
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasksCode0
FLEURS: Few-shot Learning Evaluation of Universal Representations of SpeechCode0
Does Joint Training Really Help Cascaded Speech Translation?Code0
Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 ChallengeCode0
DoCIA: An Online Document-Level Context Incorporation Agent for Speech TranslationCode0
Discrete Speech Unit Extraction via Independent Component AnalysisCode0
Discrete Cross-Modal Alignment Enables Zero-Shot Speech TranslationCode0
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European LanguagesCode0
A Comprehensive Evaluation of Incremental Speech Recognition and Diarization for Conversational AICode0
Discovering Phonetic Inventories with Crosslingual Automatic Speech RecognitionCode0
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LMCode0
Did you hear that? Adversarial Examples Against Automatic Speech RecognitionCode0
DiaCorrect: End-to-end error correction for speaker diarizationCode0
Direct Segmentation Models for Streaming Speech TranslationCode0
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech RecognitionCode0
Deep Learning for Audio Signal ProcessingCode0
Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial DomainCode0
Big model only for hard audios: Sample dependent Whisper model selection for efficient inferencesCode0
Bigger is not Always Better: The Effect of Context Size on Speech Pre-TrainingCode0
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech RecognitionCode0
Detecting Adversarial Examples for Speech Recognition via Uncertainty QuantificationCode0
BERT Attends the Conversation: Improving Low-Resource Conversational ASRCode0
Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech RecognitionCode0
Bi-Directional Lattice Recurrent Neural Networks for Confidence EstimationCode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language UnderstandingCode0
Coupled Training of Sequence-to-Sequence Models for Accented Speech RecognitionCode0
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error ClassificationsCode0
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTubeCode0
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition SystemsCode0
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with SubwordsCode0
Conditional independence for pretext task selection in Self-supervised speech representation learningCode0
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics ProcessingCode0
Comparison and Analysis of New Curriculum Criteria for End-to-End ASRCode0
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural NetworksCode0
Continual Learning for Monolingual End-to-End Automatic Speech RecognitionCode0
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
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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