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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 551–600 of 3012 papers

TitleStatusHype
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge—0
A study on native American English speech recognition by Indian listeners with varying word familiarity level—0
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR—0
A Study on Lip Localization Techniques used for Lip reading from a Video—0
A Study of Non-autoregressive Model for Sequence Generation—0
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools—0
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems—0
Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru—0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages—0
Accurate and Structured Pruning for Efficient Automatic Speech Recognition—0
A Study of All-Convolutional Encoders for Connectionist Temporal Classification—0
A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech—0
Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information—0
ASTRA: Aligning Speech and Text Representations for Asr without Sampling—0
ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers—0
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings—0
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition—0
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors—0
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation—0
Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non-Native Speakers of Three Major Languages in Dictation Workflows—0
Assessing ASR Model Quality on Disordered Speech using BERTScore—0
A higher order Minkowski loss for improved prediction ability of acoustic model in ASR—0
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors—0
Analysis of Deep Clustering as Preprocessing for Automatic Speech Recognition of Sparsely Overlapping Speech—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—0
A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting—0
ASR Rescoring and Confidence Estimation with ELECTRA—0
ASR is all you need: cross-modal distillation for lip reading—0
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews—0
ASR in German: A Detailed Error Analysis—0
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding—0
A Hierarchical Neural Model for Learning Sequences of Dialogue Acts—0
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition—0
ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German—0
ASR for Documenting Acutely Under-Resourced Indigenous Languages—0
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding—0
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems—0
ASR error management for improving spoken language understanding—0
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning—0
Acoustic Model Fusion for End-to-end Speech Recognition—0
Accent Recognition with Hybrid Phonetic Features—0
ASR Error Detection via Audio-Transcript entailment—0
A Genetic Programming Approach To Zero-Shot Neural Architecture Ranking—0
ASR Error Correction using Large Language Models—0
ASR Error Correction and Domain Adaptation Using Machine Translation—0
A Generative Model of a Pronunciation Lexicon for Hindi—0
Acoustic Model Compression with MAP adaptation—0
ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction—0
ASR Bundestag: A Large-Scale political debate dataset in German—0
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks—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