SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 3012 papers

TitleStatusHype
Robust ASR Error Correction with Conservative Data Filtering—0
Beyond Binary: Multiclass Paraphasia Detection with Generative Pretrained Transformers and End-to-End Models—0
Vibravox: A Dataset of French Speech Captured with Body-conduction Audio SensorsCode1
Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data—0
Textless Dependency Parsing by Labeled Sequence PredictionCode0
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation—0
HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing—0
Homogeneous Speaker Features for On-the-Fly Dysarthric and Elderly Speaker Adaptation—0
Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition—0
Semi-supervised Learning for Code-Switching ASR with Large Language Model Filter—0
Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models—0
Romanization Encoding For Multilingual ASR—0
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation ModelsCode1
LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech—0
Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic UnitsCode2
Written Term Detection Improves Spoken Term DetectionCode0
Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian DialectCode0
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis—0
Multi-Convformer: Extending Conformer with Multiple Convolution KernelsCode0
Improving Self-supervised Pre-training using Accent-Specific CodebooksCode1
Codec-ASR: Training Performant Automatic Speech Recognition Systems with Discrete Speech Representations—0
Pinyin Regularization in Error Correction for Chinese Speech Recognition with Large Language ModelsCode1
Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition—0
Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment—0
Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation NetworkCode0
Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over—0
Dynamic Data Pruning for Automatic Speech Recognition—0
MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research—0
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR—0
Automatic Speech Recognition for Hindi—0
ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMsCode1
FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children Speech DataCode0
Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNetCode1
Sequential Editing for Lifelong Training of Speech Recognition Models—0
Blending LLMs into Cascaded Speech Translation: KIT's Offline Speech Translation System for IWSLT 2024—0
Decoder-only Architecture for Streaming End-to-end Speech Recognition—0
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices—0
Perception of Phonological Assimilation by Neural Speech Recognition Models—0
ManWav: The First Manchu ASR Model—0
Joint vs Sequential Speaker-Role Detection and Automatic Speech Recognition for Air-traffic Control—0
Unsupervised Online Continual Learning for Automatic Speech RecognitionCode0
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model—0
Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of SpeechCode0
Transcribe, Align and Segment: Creating speech datasets for low-resource languages—0
Performant ASR Models for Medical Entities in Accented Speech—0
Automatic Speech Recognition for Biomedical Data in Bengali Language—0
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy SpeechCode1
CoSTA: Code-Switched Speech Translation using Aligned Speech-Text Interleaving—0
ROAR: Reinforcing Original to Augmented Data Ratio Dynamics for Wav2Vec2.0 Based ASR—0
Optimizing Byte-level Representation for End-to-end ASR—0
Show:102550
← PrevPage 8 of 61Next →
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