Speech Recognition Course
This course equips learners with practical skills to develop accurate, low-latency automatic speech recognition (ASR) systems for short utterances, covering key techniques from feature extraction to deployment while emphasizing privacy and performance.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Speech Recognition Course provides a quick, hands-on way to develop precise, low-delay ASR for brief speech clips. You'll cover feature extraction, beam search decoding, language model fusion, pronunciation assessment, and confidence metrics. Dive into current architectures, ready-made models, performance measures, and deployment considerations to build strong, privacy-focused speech tools.
Elevify advantages
Develop skills
- Build solid ASR features: MFCCs, log-mel, SpecAugment in minutes.
- Design and adjust modern ASR models: CTC, encoder-decoder, Conformer, Whisper.
- Implement clever decoding: beam search, LM rescoring, confidence and OOV handling.
- Evaluate speech systems: WER, latency, robustness, and pronunciation scoring.
- Prepare speech datasets: short-utterance design, annotation, and non-native data.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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