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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 51–100 of 3012 papers

TitleStatusHype
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface ElectromyographyCode2
Fast Transformers with Clustered AttentionCode2
Large Language Model Can Transcribe Speech in Multi-Talker Scenarios with Versatile InstructionsCode2
LiteASR: Efficient Automatic Speech Recognition with Low-Rank ApproximationCode2
Streaming Keyword Spotting Boosted by Cross-layer Discrimination ConsistencyCode2
Dompteur: Taming Audio Adversarial ExamplesCode1
Distilling the Knowledge of BERT for Sequence-to-Sequence ASRCode1
Adaptation of Whisper models to child speech recognitionCode1
Multilingual DistilWhisper: Efficient Distillation of Multi-task Speech Models via Language-Specific ExpertsCode1
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech TranslationCode1
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksCode1
Distilling a Pretrained Language Model to a Multilingual ASR ModelCode1
DENT-DDSP: Data-efficient noisy speech generator using differentiable digital signal processors for explicit distortion modelling and noise-robust speech recognitionCode1
Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for PolishCode1
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech RecognitionCode1
Dual-Path Style Learning for End-to-End Noise-Robust Speech RecognitionCode1
Deep Audio-Visual Speech RecognitionCode1
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech RecognitionCode1
Deep Contextualized Acoustic Representations For Semi-Supervised Speech RecognitionCode1
Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across ModalitiesCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
data2vec-aqc: Search for the right Teaching Assistant in the Teacher-Student training setupCode1
Deep Sparse Conformer for Speech RecognitionCode1
Cross Attention Augmented Transducer Networks for Simultaneous TranslationCode1
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian PortugueseCode1
Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech RecognitionCode1
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation ModelsCode1
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMICode1
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global ContextCode1
CopyNE: Better Contextual ASR by Copying Named EntitiesCode1
CTC-synchronous Training for Monotonic Attention ModelCode1
DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question AnsweringCode1
A Cross-Modal Approach to Silent Speech with LLM-Enhanced RecognitionCode1
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact CentersCode1
Combining Frame-Synchronous and Label-Synchronous Systems for Speech RecognitionCode1
Can Contextual Biasing Remain Effective with Whisper and GPT-2?Code1
Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimationCode1
Can we use Common Voice to train a Multi-Speaker TTS system?Code1
BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control CommunicationsCode1
Brazilian Portuguese Speech Recognition Using Wav2vec 2.0Code1
CCC-wav2vec 2.0: Clustering aided Cross Contrastive Self-supervised learning of speech representationsCode1
CL-MASR: A Continual Learning Benchmark for Multilingual ASRCode1
Common Voice: A Massively-Multilingual Speech CorpusCode1
Back Translation for Speech-to-text Translation Without TranscriptsCode1
AV Taris: Online Audio-Visual Speech RecognitionCode1
BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithmCode1
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy SpeechCode1
Continuous speech separation: dataset and analysisCode1
AVATAR: Unconstrained Audiovisual Speech RecognitionCode1
A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and RecognitionCode1
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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