OpenCodePapers

speech-recognition-on-wsj-eval92

Speech Recognition
Results over time
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PaperCodeWord Error Rate (WER)ModelNameReleaseDate
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network1.3Speechstew 100M2021-04-05
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition1.3ConformerXXL-P2021-09-27
Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting2.11Task activating prompting generative correction2023-09-27
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition✓ Link2.2RobustGER2024-02-08
Purely sequence-trained neural networks for ASR based on lattice-free MMI2.32tdnn + chain2016-09-08
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients✓ Link2.77CTC-CRF ST-NAS2020-11-11
End-to-end speech recognition using lattice-free MMI3.0End-to-end LF-MMI2018-09-06
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition✓ Link3.19Transformer with Relaxed Attention2021-07-02
CAT: A CTC-CRF based ASR Toolkit Bridging the Hybrid and the End-to-end Approaches towards Data Efficiency and Low Latency✓ Link3.2CTC-CRF VGG-BLSTM2020-05-27
Espresso: A Fast End-to-end Neural Speech Recognition Toolkit✓ Link3.4Espresso2019-09-18
Deep Recurrent Neural Networks for Acoustic Modelling3.5TC-DNN-BLSTM-DNN2015-04-07
Fully Convolutional Speech Recognition3.5Convolutional Speech Recognition2018-12-17
[]()3.6test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm*
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin✓ Link3.60Deep Speech 22015-12-08
CRF-based Single-stage Acoustic Modeling with CTC Topology✓ Link3.79CTC-CRF 4gram-LM2019-04-16
[]()5.6CNN over RAW speech (wav)
Jasper: An End-to-End Convolutional Neural Acoustic Model✓ Link6.9Jasper 10x32019-04-05