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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 426–450 of 3012 papers

TitleStatusHype
Fine-Grained Grounding for Multimodal Speech RecognitionCode0
Finnish Parliament ASR corpus - Analysis, benchmarks and statisticsCode0
FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech DataCode0
FastEmit: Low-latency Streaming ASR with Sequence-level Emission RegularizationCode0
Multilingual Bottleneck Features for Improving ASR Performance of Code-Switched Speech in Under-Resourced LanguagesCode0
A Simplified Fully Quantized Transformer for End-to-end Speech RecognitionCode0
Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event LocalizationCode0
Exploring Generative Error Correction for Dysarthric Speech RecognitionCode0
Explainability of Speech Recognition Transformers via Gradient-based Attention VisualizationCode0
ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech ToolkitCode0
ASR Benchmarking: Need for a More Representative Conversational DatasetCode0
Multi-Stage Speaker Diarization for Noisy ClassroomsCode0
Enhancing Quantised End-to-End ASR Models via PersonalisationCode0
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification TasksCode0
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech RecognitionCode0
On Out-of-Distribution Detection for Audio with Deep Nearest NeighborsCode0
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 Open Vocabulary Keyword Search With Multilingual Neural RepresentationsCode0
Perceptual and Task-Oriented Assessment of a Semantic Metric for ASR EvaluationCode0
Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation NetworkCode0
End to End ASR System with Automatic Punctuation InsertionCode0
A Small and Fast BERT for Chinese Medical Punctuation RestorationCode0
AfriHuBERT: A self-supervised speech representation model for African languagesCode0
Effects of Layer Freezing on Transferring a Speech Recognition System to Under-resourced LanguagesCode0
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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