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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 2601–2650 of 3012 papers

TitleStatusHype
Speech recognition for air traffic control via feature learning and end-to-end training—0
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives—0
Speech recognition for medical conversations—0
Speech Recognition Front End Without Information Loss—0
Speech Recognition on TV Series with Video-guided Post-Correction—0
Speech Recognition Rescoring with Large Speech-Text Foundation Models—0
Speech Recognition Web Services for Dutch—0
Speech Recognition with no speech or with noisy speech—0
Speech recognition with quaternion neural networks—0
Speech Recognition with Quaternion Neural Networks—0
Speech Reconstruction from Silent Tongue and Lip Articulation By Pseudo Target Generation and Domain Adversarial Training—0
Speech Retrieval-Augmented Generation without Automatic Speech Recognition—0
Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning—0
Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English—0
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces—0
Speech-to-SQL Parsing: Error Correction with Multi-modal Representations—0
Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question—0
Speech-T: Transducer for Text to Speech and Beyond—0
Spelling Correction through Rewriting of Non-Autoregressive ASR Lattices—0
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings—0
Spell my name: keyword boosted speech recognition—0
Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition—0
SpliceOut: A Simple and Efficient Audio Augmentation Method—0
Spoken Grammar Assessment Using LLM—0
Spoken Language Translation for Polish—0
SpokesBiz -- an Open Corpus of Conversational Polish—0
SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition—0
SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition—0
SSNCSE_NLP@LT-EDI-ACL2022: Speech Recognition for Vulnerable Individuals in Tamil using pre-trained XLSR models—0
Stabilising and accelerating light gated recurrent units for automatic speech recognition—0
StableEmit: Selection Probability Discount for Reducing Emission Latency of Streaming Monotonic Attention ASR—0
StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models—0
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders—0
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition—0
Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University—0
Statistical Beamformer Exploiting Non-stationarity and Sparsity with Spatially Constrained ICA for Robust Speech Recognition—0
Statistical Testing on ASR Performance via Blockwise Bootstrap—0
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge—0
STC speaker recognition systems for the NIST SRE 2021—0
STOP: A dataset for Spoken Task Oriented Semantic Parsing—0
Stream attention-based multi-array end-to-end speech recognition—0
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition—0
Streaming Audio-Visual Speech Recognition with Alignment Regularization—0
Streaming automatic speech recognition with the transformer model—0
Streaming End-to-End ASR based on Blockwise Non-Autoregressive Models—0
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification—0
Streaming Target-Speaker ASR with Neural Transducer—0
Streaming, fast and accurate on-device Inverse Text Normalization for Automatic Speech Recognition—0
Streaming Models for Joint Speech Recognition and Translation—0
Streaming Noise Context Aware Enhancement For Automatic Speech Recognition in Multi-Talker Environments—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