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Speech Recognition On Librispeech Test Other

المقاييس

Word Error Rate (WER)

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نتائج أداء النماذج المختلفة على هذا المعيار القياسي

Paper TitleRepository
Local Prior Matching (Large Model)20.84Semi-Supervised Speech Recognition via Local Prior Matching
Snips16.5Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
Local Prior Matching (Large Model, ConvLM LM)15.28Semi-Supervised Speech Recognition via Local Prior Matching
Deep Speech 213.25Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
TDNN + pNorm + speed up/down speech12.5--
CTC-CRF 4gram-LM10.65CRF-based Single-stage Acoustic Modeling with CTC Topology-
Convolutional Speech Recognition10.47Fully Convolutional Speech Recognition-
MT4SSL9.6MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets
Jasper DR 10x58.79Jasper: An End-to-End Convolutional Neural Acoustic Model
Espresso8.7Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
Jasper DR 10x5 (+ Time/Freq Masks)7.84Jasper: An End-to-End Convolutional Neural Acoustic Model
tdnn + chain + rnnlm rescoring7.63Neural Network Language Modeling with Letter-based Features and Importance Sampling-
QuartzNet15x57.25QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions
Conformer with Relaxed Attention6.85Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition
LAS (no LM)6.5SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Squeezeformer (L)5.97Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
LAS + SpecAugment5.8SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Multi-Stream Self-Attention With Dilated 1D Convolutions5.80State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions
Transformer5.7A Comparative Study on Transformer vs RNN in Speech Applications
LSTM Transducer5.6Librispeech Transducer Model with Internal Language Model Prior Correction
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