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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 301–350 of 3012 papers

TitleStatusHype
An investigation of modularity for noise robustness in conformer-based ASR—0
Findings of the 2024 Mandarin Stuttering Event Detection and Automatic Speech Recognition Challenge—0
Retrieval Augmented Correction of Named Entity Speech Recognition Errors—0
Evaluation of real-time transcriptions using end-to-end ASR models—0
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection—0
Quantification of stylistic differences in human- and ASR-produced transcripts of African American English—0
Probing self-attention in self-supervised speech models for cross-linguistic differences—0
What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations—0
Reassessing Noise Augmentation Methods in the Context of Adversarial Speech—0
Temporal Order Preserved Optimal Transport-based Cross-modal Knowledge Transfer Learning for ASR—0
VoxHakka: A Dialectally Diverse Multi-speaker Text-to-Speech System for Taiwanese Hakka—0
Resource-Efficient Adaptation of Speech Foundation Models for Multi-Speaker ASR—0
Comparing Discrete and Continuous Space LLMs for Speech Recognition—0
Serialized Speech Information Guidance with Overlapped Encoding Separation for Multi-Speaker Automatic Speech Recognition—0
Speaker Tagging Correction With Non-Autoregressive Language Models—0
Advancing Multi-talker ASR Performance with Large Language Models—0
Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction—0
Measuring the Accuracy of Automatic Speech Recognition SolutionsCode0
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error ClassificationsCode0
Automatic recognition and detection of aphasic natural speech—0
Self-supervised Speech Representations Still Struggle with African American Vernacular EnglishCode0
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues—0
Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models—0
The State of Commercial Automatic French Legal Speech Recognition Systems and their Impact on Court Reporters et al—0
Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition—0
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts—0
Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words—0
Style-Talker: Finetuning Audio Language Model and Style-Based Text-to-Speech Model for Fast Spoken Dialogue Generation—0
Enhancing Dialogue Speech Recognition with Robust Contextual Awareness via Noise Representation Learning—0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance—0
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech RecognitionCode1
VQ-CTAP: Cross-Modal Fine-Grained Sequence Representation Learning for Speech Processing—0
MooER: LLM-based Speech Recognition and Translation Models from Moore ThreadsCode3
wav2graph: A Framework for Supervised Learning Knowledge Graph from SpeechCode2
MathBridge: A Large Corpus Dataset for Translating Spoken Mathematical Expressions into LaTeX Formulas for Improved Readability—0
ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval—0
Self-Supervised Learning for Multi-Channel Neural Transducer—0
StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion—0
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic FeaturesCode1
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation—0
Towards interfacing large language models with ASR systems using confidence measures and prompting—0
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognition—0
On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures—0
Sentiment Reasoning for HealthcareCode3
Evolutionary Prompt Design for LLM-Based Post-ASR Error CorrectionCode1
Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance—0
Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for PolishCode1
Handling Numeric Expressions in Automatic Speech Recognition—0
A light-weight and efficient punctuation and word casing prediction model for on-device streaming ASR—0
Robust ASR Error Correction with Conservative Data Filtering—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