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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 201–250 of 3012 papers

TitleStatusHype
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech RecognitionCode1
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
CL-MASR: A Continual Learning Benchmark for Multilingual ASRCode1
K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and SyllablesCode1
CopyNE: Better Contextual ASR by Copying Named EntitiesCode1
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling InsightsCode1
Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNetCode1
A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and RecognitionCode1
Automatic Speech Recognition Benchmark for Air-Traffic CommunicationsCode1
Less Peaky and More Accurate CTC Forced Alignment by Label PriorsCode1
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech RecognitionCode1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task LearningCode1
Adaptation of Whisper models to child speech recognitionCode1
Lightweight Adapter Tuning for Multilingual Speech TranslationCode1
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech RecognitionCode1
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech ProcessingCode1
Mamba for Streaming ASR Combined with Unimodal AggregationCode1
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-FormulaCode1
Adapting End-to-End Speech Recognition for Readable SubtitlesCode1
Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASRCode1
Automatic Speech Recognition for Speech Assessment of Persian Preschool ChildrenCode1
MM-ALT: A Multimodal Automatic Lyric Transcription SystemCode1
AVATAR: Unconstrained Audiovisual Speech RecognitionCode1
Multi-modal Dense Video CaptioningCode1
Natural Language Processing Advancements By Deep Learning: A SurveyCode1
A Toolbox for Construction and Analysis of Speech DatasetsCode1
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive LearningCode1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsCode1
Audio-Visual Efficient Conformer for Robust Speech RecognitionCode1
Open Source Automatic Speech Recognition for GermanCode1
Attention-based Contextual Language Model Adaptation for Speech RecognitionCode1
Attention-based Audio-Visual Fusion for Robust Automatic Speech RecognitionCode1
PriMock57: A Dataset Of Primary Care Mock ConsultationsCode1
Punctuation Restoration using Transformer Models for High-and Low-Resource LanguagesCode1
Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language TextCode1
Automatic Disfluency Detection from Untranscribed SpeechCode1
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASRCode1
AVLnet: Learning Audio-Visual Language Representations from Instructional VideosCode1
Robust Data2vec: Noise-robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive LearningCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and EnglishCode1
A Systematic Comparison of Phonetic Aware Techniques for Speech EnhancementCode1
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy MinimizationCode1
Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASRCode1
Skit-S2I: An Indian Accented Speech to Intent datasetCode1
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural SpeechCode1
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversionCode1
An Investigation of End-to-End Models for Robust Speech RecognitionCode1
Speaker Recognition in the WildCode1
A Sidecar Separator Can Convert a Single-Talker Speech Recognition System to a Multi-Talker OneCode1
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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