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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 2876–2900 of 3012 papers

TitleStatusHype
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