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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 1451–1500 of 3012 papers

TitleStatusHype
Improving the fusion of acoustic and text representations in RNN-T—0
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models—0
Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR—0
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality CorpusCode1
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition—0
Human and Automatic Speech Recognition Performance on German Oral History Interviews—0
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR—0
DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning—0
RED-ACE: Robust Error Detection for ASR using Confidence Embeddings—0
Recent Progress in the CUHK Dysarthric Speech Recognition System—0
Learning to Enhance or Not: Neural Network-Based Switching of Enhanced and Observed Signals for Overlapping Speech Recognition—0
A Likelihood Ratio based Domain Adaptation Method for E2E Models—0
Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection—0
Neural Architecture Search For LF-MMI Trained Time Delay Neural NetworksCode0
Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset—0
Improving Mandarin End-to-End Speech Recognition with Word N-gram Language ModelCode1
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster PredictionCode2
Robust Self-Supervised Audio-Visual Speech RecognitionCode2
Speech-to-SQL: Towards Speech-driven SQL Query Generation From Natural Language Question—0
Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation—0
Multi-Dialect Arabic Speech Recognition—0
Multi-Variant Consistency based Self-supervised Learning for Robust Automatic Speech Recognition—0
Voice Quality and Pitch Features in Transformer-Based Speech Recognition—0
Regularizing End-to-End Speech Translation with Triangular Decomposition AgreementCode1
Integrating Knowledge in End-to-End Automatic Speech Recognition for Mandarin-English Code-Switching—0
Multi-turn RNN-T for streaming recognition of multi-party speech—0
Continual Learning for Monolingual End-to-End Automatic Speech RecognitionCode0
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems—0
Real-Time Neural Voice Camouflage—0
Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model—0
Robustifying automatic speech recognition by extracting slowly varying features—0
PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition—0
Improving Speech Recognition on Noisy Speech via Speech Enhancement with Multi-Discriminators CycleGAN—0
Improving Code-switching Language Modeling with Artificially Generated Texts using Cycle-consistent Adversarial Networks—0
Directed Speech Separation for Automatic Speech Recognition of Long Form Conversational Speech—0
Sequence-level self-learning with multiple hypotheses—0
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition—0
Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems—0
X-Vector based voice activity detection for multi-genre broadcast speech-to-textCode1
A study on native American English speech recognition by Indian listeners with varying word familiarity level—0
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMICode1
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge—0
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking—0
A Mixture of Expert Based Deep Neural Network for Improved ASR—0
A higher order Minkowski loss for improved prediction ability of acoustic model in ASR—0
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent—0
Analysis of Manipuri Tones in ManiTo: A Tonal Contrast Database—0
Improve Sinhala Speech Recognition Through e2e LF-MMI Model—0
IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary—0
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context—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