Speech Recognition Course
This course equips learners with practical skills to develop accurate and efficient automatic speech recognition (ASR) systems, covering feature extraction, model architectures, decoding techniques, evaluation metrics, and dataset preparation for real-world applications.
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 build precise, fast ASR for short speech clips. You will learn about extracting features, decoding using beam search, integrating language models, scoring pronunciations, and measuring confidence. Dive into current architectures, pre-trained models, evaluation methods, and deployment choices to develop strong, privacy-focused speech apps.
Elevify advantages
Develop skills
- Build strong 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 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 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 CarloDigital Marketing Student
I like how the lessons are 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 videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André FelipePrompt Engineering Student
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