| srvk/eesen |
673 |
|
0 |
0 |
almost 7 years ago |
0 |
|
59 |
apache-2.0 |
C++ |
| The official repository of the Eesen project |
| alumae/kaldi-offline-transcriber |
211 |
|
0 |
0 |
over 3 years ago |
0 |
|
12 |
other |
Python |
| Offline transcription system for Estonian using Kaldi |
| vrenkens/tfkaldi |
171 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
mit |
Python |
| Speech recognition software where the neural net is trained with TensorFlow and GMM training and decoding is done in Kaldi |
| vrenkens/nabu |
112 |
|
0 |
0 |
about 7 years ago |
0 |
|
7 |
mit |
Python |
| Code for end-to-end ASR with neural networks, build with TensorFlow |
| opendcd/opendcd |
64 |
|
0 |
0 |
about 10 years ago |
0 |
|
3 |
apache-2.0 |
C++ |
| Open Source WFST-based Decoder Toolkit |
| yh1008/speech-to-text |
51 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
|
Jupyter Notebook |
| mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras |
| by2101/OpenASR |
29 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| A pytorch based end2end speech recognition system. |
| uhh-lt/kaldi-model-server |
29 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
apache-2.0 |
JavaScript |
| Simple Kaldi model server for chain (nnet3) models in online recognition mode directly from a local microphone |
| mravanelli/pytorch_MLP_for_ASR |
27 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
Perl |
| This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided. |
| hanayashiki/AsrService |
17 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
C++ |
| asr service based on kaldi |
