| nl8590687/ASRT_SpeechRecognition |
7,253 |
|
0 |
0 |
about 2 years ago |
1 |
October 23, 2020 |
101 |
gpl-3.0 |
Python |
| A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 |
| buriburisuri/speech-to-text-wavenet |
3,586 |
|
0 |
0 |
over 4 years ago |
0 |
|
82 |
apache-2.0 |
Python |
| Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow |
| Kyubyong/nlp_tasks |
2,904 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
apache-2.0 |
|
| Natural Language Processing Tasks and References |
| juand-r/entity-recognition-datasets |
1,386 |
|
0 |
0 |
over 2 years ago |
0 |
|
7 |
mit |
Python |
| A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types. |
| EuropeanaNewspapers/ner-corpora |
161 |
|
0 |
0 |
about 3 years ago |
0 |
|
5 |
other |
|
| Named Entity Recognition data for Europeana Newspapers |
| sailist/ASRFrame |
155 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| An Automatic Speech Recognition Frame ，一个中文语音识别的完整框架， 提供了多个模型 |
| NorskRegnesentral/weak-supervision-for-NER |
97 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Framework to learn Named Entity Recognition models without labelled data using weak supervision. |
| mdangschat/ctc-asr |
92 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
mit |
Python |
| End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function. |
| EgorLakomkin/KTSpeechCrawler |
73 |
|
0 |
0 |
about 6 years ago |
0 |
|
2 |
mit |
Python |
| Automatically constructing corpus for automatic speech recognition from YouTube videos |
| Franck-Dernoncourt/ASR_benchmark |
60 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
|
Python |
| Program to benchmark various speech recognition APIs |
