Speech Recognition Course
This course equips learners with practical skills to develop accurate, low-latency automatic speech recognition (ASR) systems for short utterances, covering feature extraction, model architectures, decoding techniques, evaluation, and deployment considerations.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Speech Recognition Course provides a quick, practical route to developing accurate, low-latency ASR for short utterances. You will learn feature extraction, decoding with beam search, language model integration, pronunciation scoring, and confidence measures. Explore modern architectures, pretrained models, evaluation metrics, and deployment trade-offs to create robust, privacy-aware speech applications.
Elevify advantages
Develop skills
- Build robust ASR features: MFCCs, log-mel, SpecAugment in minutes.
- Design and tune modern ASR models: CTC, encoder-decoder, Conformer, Whisper.
- Implement smart 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 lessons are perfect. I purchased 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 supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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