Certified Specialist Programme in Machine Learning for Voice Recognition

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Fundamentals of Voice Recognition
  • Acoustic Modeling and Speech Feature Extraction
  • Hidden Markov Models (HMMs) and their application to Speech Recognition
  • Deep Learning for Automatic Speech Recognition (ASR): Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks
  • Language Modeling and its integration with Acoustic Models
  • Advanced Deep Learning Architectures for ASR: Convolutional Neural Networks (CNNs), Transformers
  • Speech Data Augmentation and Preprocessing Techniques
  • Evaluation Metrics for Speech Recognition Systems
  • Deployment and Optimization of Voice Recognition Systems

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Roles in Machine Learning for Voice Recognition (UK) Description Senior Machine Learning Engineer - Voice Recognition Leads complex projects, designs and implements advanced voice recognition algorithms, and mentors junior engineers.

High demand, excellent salary.

Machine Learning Scientist - Speech Processing Focuses on research and development of novel machine learning techniques for speech applications.

Requires strong theoretical understanding.

Data Scientist - Voice Data Analytics Analyzes large datasets of voice data to extract insights, build predictive models, and improve voice recognition accuracy.

Strong data manipulation skills needed.

Software Engineer - Voice UI Development Develops and maintains software applications incorporating voice recognition technology, focusing on user interface and experience.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFIED SPECIALIST PROGRAMME IN MACHINE LEARNING FOR VOICE RECOGNITION
์—๊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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