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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 601–650 of 3012 papers

TitleStatusHype
Accented Speech Recognition With Accent-specific CodebooksCode1
Leveraging Timestamp Information for Serialized Joint Streaming Recognition and Translation—0
Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation—0
Intelligibility prediction with a pretrained noise-robust automatic speech recognition model—0
Unintended Memorization in Large ASR Models, and How to Mitigate It—0
Generative error correction for code-switching speech recognition using large language models—0
Iterative Shallow Fusion of Backward Language Model for End-to-End Speech Recognition—0
Advanced accent/dialect identification and accentedness assessment with multi-embedding models and automatic speech recognition—0
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System—0
Correction Focused Language Model Training for Speech Recognition—0
Zipformer: A faster and better encoder for automatic speech recognition—0
Detecting Speech Abnormalities with a Perceiver-based Sequence Classifier that Leverages a Universal Speech Model—0
Advancing Test-Time Adaptation in Wild Acoustic Test SettingsCode1
Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring—0
SALM: Speech-augmented Language Model with In-context Learning for Speech Recognition and Translation—0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition—0
Adapting the adapters for code-switching in multilingual ASRCode0
Discriminative Speech Recognition Rescoring with Pre-trained Language Models—0
Acoustic Model Fusion for End-to-end Speech Recognition—0
No Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation—0
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech RecognitionCode2
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis—0
ed-cec: improving rare word recognition using asr postprocessing based on error detection and context-aware error correctionCode0
Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition—0
A privacy-preserving method using secret key for convolutional neural network-based speech classification—0
An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples—0
LibriSpeech-PC: Benchmark for Evaluation of Punctuation and Capitalization Capabilities of end-to-end ASR ModelsCode2
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions—0
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition—0
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR—0
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping—0
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning—0
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm—0
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition—0
Enhancing Code-switching Speech Recognition with Interactive Language Biases—0
SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition—0
Wiki-En-ASR-Adapt: Large-scale synthetic dataset for English ASR Customization—0
Hierarchical Cross-Modality Knowledge Transfer with Sinkhorn Attention for CTC-based ASR—0
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language ModelsCode1
Speech collage: code-switched audio generation by collaging monolingual corporaCode1
Learning from Flawed Data: Weakly Supervised Automatic Speech Recognition—0
Segmentation-Free Streaming Machine TranslationCode0
Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference—0
Connecting Speech Encoder and Large Language Model for ASR—0
Cross-modal Alignment with Optimal Transport for CTC-based ASR—0
Human Transcription Quality ImprovementCode0
Speech enhancement with frequency domain auto-regressive modeling—0
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR—0
Affect Recognition in Conversations Using Large Language Models—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