Building Classifier for Raw Voice Recording

This workshop will equip you with hands-on experience in solving real-case data analysis using Tensorflow in Python.

  • Schedule

    26 – 28 July 2022

    18.30 – 21.30 (WIB)

  • Online-Interactive Learning

    Via Zoom

  • Investment

    Rp. 1.500.000

Course Summary

In this era, types of data are becoming more varied. Demand for processing raw voice data is increasing due to increased demand for sentiment analysis to improve services. This analysis can be useful in various aspects, such as using voice as password/voice biometrics, customer service, detecting and finding music titles, or improving sales through call centers.

This 3-day workshop is a beginner-friendly introduction to how to build a classifier for raw voice data in Python. This workshop will equip you with hands-on experience in solving real-case data analysis using Tensorflow in Python. You will learn how to pre-process raw voice data, then make a classifier model.

Upon completion of this workshop, you will be able to:

  • Work with Python and pandas for data cleansing and manipulation processes.
  • Understand deep learning architecture
  • Work with Tensorflow for training data
  • Understand model reusability

We will provide participants with a rich interactive experience throughout the online course. One Instructor and two Teaching Assistants will help participants troubleshoot or help with any difficulties encountered.

NOTE: The workshop will be delivered in Bahasa Indonesia


  • Working with Conda environment
  • Introduction to Python for data science
  • Data manipulation and processing with Python Pandas
  • Layer and neurons
  • Activation and cost function
  • Feedforward
  • Backpropagation
  • Reading the raw voice data
  • Pre-processing raw voice data
  • Training with validation: define the architecture, compile the model, model fitting and evaluation
  • Testing on unseen voices


This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.


Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.


    Zoom recording, course Books (PDF & HTML files), the dataset for practice, reference notes, and working files are accessible through our Learning Management System account.


    Show current and prospective employers of your mastery in computer vision with a signed certificate of completion.


    Be a part of our data-passionate community with 5000+ members and 1000+ alumni.


Workshops in this series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.

Yes, you can still attend the workshop as it is a beginner-friendly workshop.

Our system will send you an email containing a link and details to join a Google Classroom.

Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.

Learning materials can be obtain via Google Classroom

Yes, you will receive a certificate of completion.


Kevin Wibowo

A Data Science Instructor at Algoritma Data Science School who is proficient in predictive modeling, data processing, and scripting languages, including Python and R. He has a good scientific knowledge and understanding of machine learning that play a huge role as an Instructor in Algoritma.

Kevin has been involved in numerous consultative data science training and course production for our clients, to name a few:
– Perusahaan Listrik Negara (PLN)
– Bank Central Asia (BCA)
– Adira
– Korlantas Polri