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 501–550 of 3012 papers

TitleStatusHype
BART based semantic correction for Mandarin automatic speech recognition system—0
BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR—0
A Closer Look at Audio-Visual Multi-Person Speech Recognition and Active Speaker Selection—0
BAT: Boundary aware transducer for memory-efficient and low-latency ASR—0
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words—0
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition—0
Bayes Risk Transducer: Transducer with Controllable Alignment Prediction—0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition—0
Attention-based Wav2Text with Feature Transfer Learning—0
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge—0
Attention based on-device streaming speech recognition with large speech corpus—0
Alignment Restricted Streaming Recurrent Neural Network Transducer—0
Alignment Knowledge Distillation for Online Streaming Attention-based Speech Recognition—0
Attention based end to end Speech Recognition for Voice Search in Hindi and English—0
A CTC Triggered Siamese Network with Spatial-Temporal Dropout for Speech Recognition—0
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition—0
Alignment-Free Training for Transducer-based Multi-Talker ASR—0
Attention-based ASR with Lightweight and Dynamic Convolutions—0
Alignment Entropy Regularization—0
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition—0
A CLARIN Transcription Portal for Interview Data—0
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition—0
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators—0
Building Accurate Low Latency ASR for Streaming Voice Search—0
Building a Non-native Speech Corpus Featuring Chinese-English Bilingual Children: Compilation and Rationale—0
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection—0
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems—0
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition—0
Aligning Speech to Languages to Enhance Code-switching Speech Recognition—0
Aligning Pre-trained Models for Spoken Language Translation—0
2-bit Conformer quantization for automatic speech recognition—0
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis—0
A Text Normalisation System for Non-Standard English Words—0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems—0
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems—0
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment—0
A light-weight and efficient punctuation and word casing prediction model for on-device streaming ASR—0
Acoustic Word Disambiguation with Phonogical Features in Danish ASR—0
Towards interfacing large language models with ASR systems using confidence measures and prompting—0
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation—0
Algorithms For Automatic Accentuation And Transcription Of Russian Texts In Speech Recognition Systems—0
Asynchronous Decentralized Distributed Training of Acoustic Models—0
A Lexical-aware Non-autoregressive Transformer-based ASR Model—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
A Survey on Speech Large Language Models—0
A Language Agnostic Multilingual Streaming On-Device ASR System—0
A Survey of Multilingual Models for Automatic Speech Recognition—0
A Subband-Based SVM Front-End for Robust ASR—0
A Joint Model of Orthography and Morphological Segmentation—0
Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope—0
Show:102550
← PrevPage 11 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