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Executive Certificate in Speech Recognition Models

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Speech Recognition and its Applications
  • Acoustic Modeling: Hidden Markov Models and Deep Neural Networks
  • Language Modeling: N-grams, Recurrent Neural Networks (RNNs), and Transformers
  • Speech Recognition System Architectures: Hybrid and End-to-End Models
  • Feature Extraction and Signal Processing Techniques
  • Evaluation Metrics for Speech Recognition Systems: WER, PER
  • Advanced Topics in Speech Recognition: Speaker Adaptation and Diarization
  • Deployment and Optimization of Speech Recognition Models
  • Ethical Considerations in Speech Recognition Technology

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Speech Recognition Engineer (Primary: Speech Recognition, Secondary: Machine Learning) Develops and improves speech recognition models, focusing on accuracy and efficiency.

High industry demand.

AI Speech Scientist (Primary: AI, Speech Recognition, Secondary: Natural Language Processing) Conducts research and develops advanced algorithms for speech recognition systems, pushing technological boundaries.

Speech Recognition Software Developer (Primary: Speech Recognition, Software Development, Secondary: Cloud Computing) Builds and maintains software applications incorporating speech recognition technologies.

Strong market presence.

Machine Learning Engineer (Speech Focus) (Primary: Machine Learning, Speech Recognition, Secondary: Deep Learning) Specializes in applying machine learning techniques to enhance speech recognition model performance.

Growing demand.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
EXECUTIVE CERTIFICATE IN SPEECH RECOGNITION MODELS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
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