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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 2501–2550 of 3012 papers

TitleStatusHype
A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy—0
A Corpus and Phonetic Dictionary for Tunisian Arabic Speech Recognition—0
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts—0
A Corpus of Read and Spontaneous Upper Saxon German Speech for ASR Evaluation—0
Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition—0
Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech—0
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition—0
Acoustic Model Compression with MAP adaptation—0
Acoustic Model Fusion for End-to-end Speech Recognition—0
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition—0
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation—0
Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information—0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages—0
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR—0
Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
Acoustic Word Disambiguation with Phonogical Features in Danish ASR—0
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition—0
A CTC Triggered Siamese Network with Spatial-Temporal Dropout for Speech Recognition—0
Activity focused Speech Recognition of Preschool Children in Early Childhood Classrooms—0
A Curriculum Learning Method for Improved Noise Robustness in Automatic Speech Recognition—0
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications—0
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio—0
Adam^+: A Stochastic Method with Adaptive Variance Reduction—0
AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition—0
Adaptable End-to-End ASR Models using Replaceable Internal LMs and Residual Softmax—0
Adaptation and Optimization of Automatic Speech Recognition (ASR) for the Maritime Domain in the Field of VHF Communication—0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning—0
Adapting Automatic Speech Recognition for Accented Air Traffic Control Communications—0
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition—0
Adapting Multi-Lingual ASR Models for Handling Multiple Talkers—0
Adapting self-supervised models to multi-talker speech recognition using speaker embeddings—0
Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decoding—0
Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom—0
Adaptive Activation Network For Low Resource Multilingual Speech Recognition—0
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition—0
Adaptive Frequency Cepstral Coefficients for Word Mispronunciation Detection—0
Adaptive Multi-Corpora Language Model Training for Speech Recognition—0
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition—0
A Deep Generative Acoustic Model for Compositional Automatic Speech Recognition—0
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017—0
A Deep Learning System for Domain-specific Speech Recognition—0
A Density Ratio Approach to Language Model Fusion in End-To-End Automatic Speech Recognition—0
A Differentiable Alignment Framework for Sequence-to-Sequence Modeling via Optimal Transport—0
A Discriminative Entity-Aware Language Model for Virtual Assistants—0
A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training—0
Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition—0
Adopting Whisper for Confidence Estimation—0
Advanced accent/dialect identification and accentedness assessment with multi-embedding models and automatic speech recognition—0
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives—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