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Speech Recognition Course
Open up the power inside speech recognition technology with dis our proper lesson we design for people who work with technology. Go deep inside the basic things, learn the important ways and how to face the hard times inside speech recognition. Make your skills strong with practice training on how to make models better, cut down noise, and handle different people way of talking. Learn the big man way of making acoustic models like DNN, RNN, and HMM. Build real-life things we can use with strong testing and judging ways. Raise your know-how and stay in front inside the changing technology world.
- Learn how to cut noise so speech recognition can hear clear.
- Make models better by fine-tuning the settings.
- Build easy to use face for speech apps.
- Put strong acoustic models like DNN and HMM inside.
- Judge speech systems using different kind of sound samples.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open up the power inside speech recognition technology with dis our proper lesson we design for people who work with technology. Go deep inside the basic things, learn the important ways and how to face the hard times inside speech recognition. Make your skills strong with practice training on how to make models better, cut down noise, and handle different people way of talking. Learn the big man way of making acoustic models like DNN, RNN, and HMM. Build real-life things we can use with strong testing and judging ways. Raise your know-how and stay in front inside the changing technology world.
Elevify advantages
Develop skills
- Learn how to cut noise so speech recognition can hear clear.
- Make models better by fine-tuning the settings.
- Build easy to use face for speech apps.
- Put strong acoustic models like DNN and HMM inside.
- Judge speech systems using different kind of sound samples.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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