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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 2951–2975 of 3012 papers

TitleStatusHype
Finnish Parliament ASR corpus - Analysis, benchmarks and statisticsCode0
Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative StudyCode0
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech RecognitionCode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
Fine-Grained Grounding for Multimodal Speech RecognitionCode0
Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2SeqCode0
Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric SpeechCode0
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with AphasiaCode0
CHSER: A Dataset and Case Study on Generative Speech Error Correction for Child ASRCode0
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech RecognitionCode0
Stochastic Attention Head Removal: A simple and effective method for improving Transformer Based ASR ModelsCode0
SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech TranslationCode0
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based DecodingCode0
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA ProjectCode0
ASR Benchmarking: Need for a More Representative Conversational DatasetCode0
Multi-Stage Speaker Diarization for Noisy ClassroomsCode0
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State TransducersCode0
MLS: A Large-Scale Multilingual Dataset for Speech ResearchCode0
SlothSpeech: Denial-of-service Attack Against Speech Recognition ModelsCode0
FastEmit: Low-latency Streaming ASR with Sequence-level Emission RegularizationCode0
Channel-Aware Domain-Adaptive Generative Adversarial Network for Robust Speech RecognitionCode0
Transcription free filler word detection with Neural semi-CRFsCode0
Rethinking Evaluation in ASR: Are Our Models Robust Enough?Code0
Vedavani: A Benchmark Corpus for ASR on Vedic Sanskrit PoetryCode0
CAT: CRF-based ASR ToolkitCode0
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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