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

Showing 501525 of 3012 papers

TitleStatusHype
Improving Automatic Speech Recognition with Decoder-Centric Regularisation in Encoder-Decoder Models0
DENOASR: Debiasing ASRs through Selective Denoising0
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding0
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation0
End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach0
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup0
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR0
Roadmap towards Superhuman Speech Understanding using Large Language Models0
Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation0
Automatic Speech Recognition with BERT and CTC Transformers: A Review0
Enhancing Indonesian Automatic Speech Recognition: Evaluating Multilingual Models with Diverse Speech Variabilities0
A two-stage transliteration approach to improve performance of a multilingual ASR0
Advocating Character Error Rate for Multilingual ASR Evaluation0
CR-CTC: Consistency regularization on CTC for improved speech recognition0
Automatic Screening for Children with Speech Disorder using Automatic Speech Recognition: Opportunities and Challenges0
The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities0
Algorithms For Automatic Accentuation And Transcription Of Russian Texts In Speech Recognition Systems0
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition0
Spoken Grammar Assessment Using LLM0
End-to-End Speech Recognition with Pre-trained Masked Language Model0
Automatic Speech Recognition for the Ika Language0
Alignment-Free Training for Transducer-based Multi-Talker ASR0
Predictive Speech Recognition and End-of-Utterance Detection Towards Spoken Dialog Systems0
AfriHuBERT: A self-supervised speech representation model for African languagesCode0
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1Unverified
2TM-seq2seqTest WER9.7Unverified
3CTC/attentionTest WER8.2Unverified
4LF-MMI TDNNTest WER6.7Unverified
5Whisper-LLaMATest WER6.6Unverified
6End2end ConformerTest WER3.9Unverified
7End2end ConformerTest WER3.7Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7Unverified
9CTC/AttentionTest WER1.5Unverified
10WhisperTest WER1.3Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5Unverified
2CleanMel-L-maskCER14.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32Unverified
2Whisper-largev3-finetunedTest WER10.82Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98Unverified