Updated: Aug 22, 2023
1-Click Kit 
Speech summarization help us in generating a gist of a speech by solving the problem of transcribing and summarization. Speech summarizer can also be used to comprehend Podcasts on variety of topics.
Below are the steps involved in building a speech summarizer. The speech summarizer takes an audio file as an input and generates text or audio as an output.
- Transform audio to meet the following spec a. '.wav' file format b. 16KHz sample rate c. Mono channel
- Transcribe transformed audio file
- Process transcribed text if necessary
- Summarize transcribed text using pre-trained state-of-the-art models
- Generate audio out of summarized text.
Deployment Information
Speech Summarizer created using this kit are added in this section. The entire solution is available as a package to download from the source code repository.
- Download, extract and double-click the kit installer file to install the kit. Do ensure to extract the zip file before running it.
- After successful installation of the kit, press 'Y' to run the kit and execute cells in the notebook.
- To run the kit manually, press 'N' and locate the zip file 'speech-summarizer.zip'
- Extract the zip file and navigate to the directory 'speech-summarizer'
- Open command prompt in the extracted directory 'speech-summarizer' and run the command 'jupyter notebook'
- Locate and open the 'Speech Summarizer.ipynb' notebook from the Jupyter Notebook browser window.
- Execute cells in the notebook
Click on the button below to download the solution and follow the deployment instructions to begin set-up. This 1-click kit has all the required dependencies and resources you may need to build your Speech Summarizer App.
For a detailed tutorial on installing & executing the solution as well as learning resources including training & certification opportunities, please visit the OpenWeaver Community
Development Environment
VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers. Jupyter Notebook is used for our development.
notebookby jupyter
10204 Version:v7.0.0b4Jupyter Interactive Notebook
notebookby jupyter
Jupyter Notebook 10204 Version:v7.0.0b4 License: Permissive (BSD-3-Clause)
Exploratory Data Analysis
For extensive analysis and exploration of data, and to deal with arrays, these libraries are used. They are also used for performing scientific computation and data manipulation.
pandasby pandas-dev
38689 Version:v2.0.2Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)
numpyby numpy
23755 Version:v1.25.0rc1The fundamental package for scientific computing with Python.
numpyby numpy
Python 23755 Version:v1.25.0rc1 License: Permissive (BSD-3-Clause)
Text mining
Libraries in this group are used for analysis and processing of unstructured natural language. The data, as in its original form aren't used as it has to go through processing pipeline to become suitable for applying machine learning techniques and algorithms.
Transcribing
Transcribing libraries help in converting speech to text.
Machine Learning
Machine learning libraries and frameworks here are helpful in generating state-of-the-art summarization.
scikit-learnby scikit-learn
54584 Version:1.2.2scikit-learn: machine learning in Python
scikit-learnby scikit-learn
Python 54584 Version:1.2.2 License: Permissive (BSD-3-Clause)
Request servicing via REST API
Web frameworks help build serving solution as REST APIs. The resources involved for servicing request can be handled by containerising and hosting on hyperscalers.
Kit Solution Source
speech-summarizerby kandi1clickkits
0 Version:v1.0.0Transcribes and summarizes speech or audio
speech-summarizerby kandi1clickkits
Jupyter Notebook 0 Version:v1.0.0 License: Permissive (Apache-2.0)
Support
If you need help using this kit, you may reach us at the OpenWeaver Community.