Speech Recognition Course
This course equips you with essential knowledge to excel in contemporary speech recognition technology. Starting from fundamental audio processing and noise suppression techniques, progress to sophisticated models such as Transformers, CTC loss functions, and the Whisper architecture. Build efficient ASR solutions optimised for real-time performance in mobile apps, large-scale systems, and accurate pronunciation analysis, ensuring reliability across diverse scenarios.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain practical skills to develop precise, low-delay Automatic Speech Recognition (ASR) 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 neural architectures, ready-to-use pretrained models, key performance metrics, and deployment considerations for secure, privacy-focused voice applications.
Elevify advantages
Develop skills
- Develop strong ASR features including MFCCs, log-mel filters, and SpecAugment quickly.
- Create and optimise latest ASR architectures like CTC, encoder-decoder, Conformer, and Whisper.
- Apply intelligent decoding methods such as beam search, language model rescoring, and handling of confidence plus out-of-vocabulary terms.
- Assess speech recognition systems using WER, latency metrics, robustness tests, and pronunciation evaluation.
- Set up speech data collections with focus on short utterances, proper annotation, and handling non-native accents.
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
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