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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 2851–2900 of 3012 papers

TitleStatusHype
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR ModelsCode0
Semantic Mask for Transformer based End-to-End Speech RecognitionCode0
Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech RecognitionCode0
Neural NILM: Deep Neural Networks Applied to Energy DisaggregationCode0
Linear Time Complexity Conformers with SummaryMixing for Streaming Speech RecognitionCode0
End-to-End Open Vocabulary Keyword Search With Multilingual Neural RepresentationsCode0
Targeted Adversarial Examples for Black Box Audio SystemsCode0
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical StudyCode0
Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech RecognitionCode0
How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia DetectionCode0
How Phonotactics Affect Multilingual and Zero-shot ASR PerformanceCode0
WPD++: An Improved Neural Beamformer for Simultaneous Speech Separation and DereverberationCode0
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech RecognitionCode0
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech RecognitionCode0
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European LanguagesCode0
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error ClassificationsCode0
BERT Attends the Conversation: Improving Low-Resource Conversational ASRCode0
Direct Segmentation Models for Streaming Speech TranslationCode0
Guiding Frame-Level CTC Alignments Using Self-knowledge DistillationCode0
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTubeCode0
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASRCode0
Did you hear that? Adversarial Examples Against Automatic Speech RecognitionCode0
LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic ContextCode0
A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC VideosCode0
Towards Unsupervised Speech Recognition Without Pronunciation ModelsCode0
End-to-End Learning of Speech 2D Feature-Trajectory for Prosthetic HandsCode0
Audio Adversarial Examples: Targeted Attacks on Speech-to-TextCode0
Arabic Speech Recognition by End-to-End, Modular Systems and HumanCode0
TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASRCode0
Quantifying Bias in Automatic Speech RecognitionCode0
Speech Translation Refinement using Large Language ModelsCode0
Comparison and Analysis of New Curriculum Criteria for End-to-End ASRCode0
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech RecognitionCode0
WiSeBE: Window-based Sentence Boundary EvaluationCode0
Quaternion Recurrent Neural NetworksCode0
Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of SpeechCode0
End to End ASR System with Automatic Punctuation InsertionCode0
Seq2seq for Automatic Paraphasia Detection in Aphasic SpeechCode0
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural NetworkCode0
Sequence Labeling Approach to the Task of Sentence Boundary DetectionCode0
DiaCorrect: End-to-end error correction for speaker diarizationCode0
A low latency attention module for streaming self-supervised speech representation learningCode0
Detecting Adversarial Examples for Speech Recognition via Uncertainty QuantificationCode0
SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-trainingCode0
OLISIA: a Cascade System for Spoken Dialogue State TrackingCode0
Word-level Embeddings for Cross-Task Transfer Learning in Speech ProcessingCode0
Effects of Layer Freezing on Transferring a Speech Recognition System to Under-resourced LanguagesCode0
To Distill or Not to Distill? On the Robustness of Robust Knowledge DistillationCode0
LSTM Benchmarks for Deep Learning FrameworksCode0
Realizing Petabyte Scale Acoustic ModelingCode0
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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