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GitHub / STT-Data-Engineering / Speech_to_text
This repo is about a Data Engineering task which involves a Speech-to-Text data collection with Kafka, Airflow, and Spark.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/STT-Data-Engineering%2FSpeech_to_text
Stars: 1
Forks: 6
Open Issues: 4
License: mit
Language: Jupyter Notebook
Repo Size: 8.27 MB
Dependencies:
1,226
Created: almost 2 years ago
Updated: almost 2 years ago
Last pushed: almost 2 years ago
Last synced: about 1 year ago
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Dependencies
- @iconify/react ^3.2.2 development
- autoprefixer ^10.4.7 development
- postcss ^8.4.14 development
- tailwindcss ^3.1.4 development
- @heroicons/react ^1.0.6
- @testing-library/jest-dom ^5.16.4
- @testing-library/react ^13.3.0
- @testing-library/user-event ^13.5.0
- audio-react-recorder ^1.0.4
- axios ^0.27.2
- react ^18.2.0
- react-dom ^18.2.0
- react-loading-skeleton ^3.1.0
- react-scripts 5.0.1
- react-spinkit ^3.0.0
- web-vitals ^2.1.4
- Flask ==2.1.2
- Flask-Cors ==3.0.10
- Jinja2 ==3.1.2
- MarkupSafe ==2.1.1
- SoundFile ==0.10.3.post1
- Werkzeug ==2.1.2
- appdirs ==1.4.4
- audioread ==2.1.9
- certifi ==2022.6.15
- cffi ==1.15.1
- charset-normalizer ==2.1.0
- click ==8.1.3
- decorator ==5.1.1
- idna ==3.3
- itsdangerous ==2.1.2
- joblib ==1.1.0
- kafka-python ==2.0.2
- librosa ==0.9.2
- llvmlite ==0.38.1
- numba ==0.55.2
- numpy ==1.22.4
- packaging ==21.3
- pandas ==1.4.3
- pooch ==1.6.0
- pycparser ==2.21
- pyparsing ==3.0.9
- python-dateutil ==2.8.2
- python-dotenv ==0.20.0
- pytz ==2022.1
- requests ==2.28.1
- resampy ==0.3.1
- scikit-learn ==1.1.1
- scipy ==1.8.1
- six ==1.16.0
- threadpoolctl ==3.1.0
- urllib3 ==1.26.10