Tasks
SotA
Datasets
Papers
Methods
Submit
About
SotA
/
Audio
/
Speech Recognition
/
TIMIT
Speech Recognition on TIMIT
Metric: Percentage error (lower is better)
Leaderboard
Dataset
Loading chart...
Results
Submit a result
Hide extra data
Export CSV
#
Model
↕
Percentage error
▲
Extra Data
Paper
Date
↕
Code
1
wav2vec 2.0
8.3
Yes
wav2vec 2.0: A Framework for Self-Supervised Lea...
2020-06-20
Code
2
vq-wav2vec
11.6
Yes
vq-wav2vec: Self-Supervised Learning of Discrete...
2019-10-12
Code
3
LiGRU + Dropout + BatchNorm + Monophone Reg
14.2
No
The PyTorch-Kaldi Speech Recognition Toolkit
2018-11-19
Code
4
LSTM + Dropout + BatchNorm + Monophone Reg
14.5
No
The PyTorch-Kaldi Speech Recognition Toolkit
2018-11-19
Code
5
wav2vec
14.7
Yes
wav2vec: Unsupervised Pre-training for Speech Re...
2019-04-11
Code
6
GRU + Dropout + BatchNorm + Monophone Reg
14.9
No
The PyTorch-Kaldi Speech Recognition Toolkit
2018-11-19
Code
7
Li-GRU + fMLLR features
14.9
No
Light Gated Recurrent Units for Speech Recognition
2018-03-26
Code
8
RNN + Dropout + BatchNorm + Monophone Reg
15.9
No
The PyTorch-Kaldi Speech Recognition Toolkit
2018-11-19
Code
9
LSTM
16
No
The PyTorch-Kaldi Speech Recognition Toolkit
2018-11-19
Code
10
Li-GRU
16.3
No
The PyTorch-Kaldi Speech Recognition Toolkit
2018-11-19
Code
11
Hierarchical maxout CNN + Dropout
16.5
No
-
-
-
12
RNN
16.5
No
The PyTorch-Kaldi Speech Recognition Toolkit
2018-11-19
Code
13
GRU
16.6
No
The PyTorch-Kaldi Speech Recognition Toolkit
2018-11-19
Code
14
CNN in time and frequency + dropout, 17.6% w/o dropout
16.7
No
-
-
-
15
Light Gated Recurrent Units
16.7
No
Light Gated Recurrent Units for Speech Recognition
2018-03-26
Code
16
RNN-CRF on 24(x3) MFSC
17.3
No
Segmental Recurrent Neural Networks for End-to-e...
2016-03-01
-
17
Bi-RNN + Attention
17.6
No
Attention-Based Models for Speech Recognition
2015-06-24
Code
18
Bi-LSTM + skip connections w/ CTC
17.7
No
Speech Recognition with Deep Recurrent Neural Ne...
2013-03-22
Code
19
QCNN-10L-256FM
19.64
No
Quaternion Convolutional Neural Networks for End...
2018-06-20
Code
20
Soft Monotonic Attention (ours, offline)
20.1
No
Online and Linear-Time Attention by Enforcing Mo...
2017-04-03
Code
21
LAS multitask with indicators sampling
20.4
No
Attention model for articulatory features detect...
2019-07-02
Code
22
LSNN
33.2
No
Long short-term memory and learning-to-learn in ...
2018-03-26
Code