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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 1351–1400 of 3012 papers

TitleStatusHype
Homogeneous Speaker Features for On-the-Fly Dysarthric and Elderly Speaker Adaptation—0
Homophone-based Label Smoothing in End-to-End Automatic Speech Recognition—0
Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models—0
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection—0
Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation—0
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR—0
How does end-to-end speech recognition training impact speech enhancement artifacts?—0
Factual Consistency Oriented Speech Recognition—0
How Might We Create Better Benchmarks for Speech Recognition?—0
CAFE A Novel Code switching Dataset for Algerian Dialect French and English—0
How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario—0
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets—0
How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents—0
How transferable are features in convolutional neural network acoustic models across languages?—0
Arabic Code-Switching Speech Recognition using Monolingual Data—0
HTEC: Human Transcription Error Correction—0
Facetron: A Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations—0
Byte Pair Encoding Is All You Need For Automatic Bengali Speech Recognition—0
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos—0
Human-Informed Speakers and Interpreters Analysis in the WAW Corpus and an Automatic Method for Calculating Interpreters' D\'ecalage—0
Human Listening and Live Captioning: Multi-Task Training for Speech Enhancement—0
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models—0
Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts—0
Huqariq: A Multilingual Speech Corpus of Native Languages of Peru forSpeech Recognition—0
Adversarial Joint Training with Self-Attention Mechanism for Robust End-to-End Speech Recognition—0
Hybrid Autoregressive Transducer (hat)—0
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units—0
Extracting Domain Invariant Features by Unsupervised Learning for Robust Automatic Speech Recognition—0
Hybridized Feature Extraction and Acoustic Modelling Approach for Dysarthric Speech Recognition—0
Extracting Biomedical Entities from Noisy Audio Transcripts—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks—0
BUT System for the MLC-SLM Challenge—0
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin—0
Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings—0
BUT Opensat 2019 Speech Recognition System—0
ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge—0
Ideal-LLM: Integrating Dual Encoders and Language-Adapted LLM for Multilingual Speech-to-Text—0
Identifying dialects with textual and acoustic cues—0
Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts—0
Identifying Teacher Questions Using Automatic Speech Recognition in Classrooms—0
IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary—0
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale—0
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others—0
Impact of ASR on Alzheimer’s Disease Detection: All Errors are Equal, but Deletions are More Equal than Others—0
Impact of Dataset on Acoustic Models for Automatic Speech Recognition—0
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution—0
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR—0
Importance of Different Temporal Modulations of Speech: A Tale of Two Perspectives—0
Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation—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