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Speech Recognition Course

Speech Recognition Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Gain practical skills to develop precise, quick-response speech recognition systems for brief audio clips. Master audio feature extraction, advanced decoding techniques like beam search, language model fusion, pronunciation assessment, and confidence evaluation. Delve into cutting-edge model designs, ready-to-use pretrained systems, performance metrics, and deployment considerations for secure, reliable voice applications.

Elevify advantages

Develop skills

  • Develop strong ASR features including MFCCs, log-mel filters, and SpecAugment rapidly.
  • Create and optimise current ASR architectures such as CTC, encoder-decoder, Conformer, and Whisper.
  • Apply intelligent decoding methods like beam search, language model rescoring, confidence checks, and out-of-vocabulary management.
  • Assess speech recognition setups using WER, response time, durability tests, and pronunciation metrics.
  • Set up speech data collections with focus on short clips, labelling processes, and handling non-native speakers.

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.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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