Certificate Programme in Speech Recognition Models

Monday, 09 February 2026 20:52:56

International applicants and their qualifications are accepted

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Overview

Overview

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Speech Recognition Models: This Certificate Programme provides a comprehensive introduction to the exciting field of automatic speech recognition (ASR).


Learn to build and evaluate state-of-the-art speech recognition systems. This program covers key concepts like acoustic modeling, language modeling, and hidden Markov models (HMMs).


Designed for students and professionals, including software engineers, data scientists, and linguists interested in natural language processing (NLP) and machine learning.


Develop practical skills in deploying speech recognition models using popular frameworks and tools. Gain valuable expertise in a rapidly growing field.


Enroll today and unlock the power of speech recognition!

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Speech Recognition Models: Master the cutting-edge techniques in this intensive Certificate Programme. Gain practical skills in acoustic modeling, language modeling, and deep learning for speech recognition. Develop robust speech processing systems and explore applications in virtual assistants, healthcare, and more. This program offers hands-on projects and industry-relevant case studies, boosting your career prospects in AI and machine learning. Upon completion, you'll be equipped for roles as Speech Scientists, AI Engineers, or Data Scientists.

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Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Introduction to Speech Recognition: Fundamentals and Applications
• Acoustic Modeling: Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs)
• Language Modeling: n-grams, Recurrent Neural Networks (RNNs), and Transformers
• Speech Recognition Architectures: Hybrid HMM-DNN systems and end-to-end models
• Feature Extraction and Signal Processing: MFCCs, PLP, and other relevant techniques
• Evaluation Metrics for Speech Recognition: WER, PER, and other performance measures
• Practical Implementation of Speech Recognition Systems: using libraries like Kaldi and TensorFlow
• Advanced Topics in Speech Recognition: Speaker adaptation, noise robustness, low-resource speech recognition
• Deployment and Integration of Speech Recognition Models: Cloud-based solutions and embedded systems

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role Description
Speech Recognition Engineer Develop and improve speech recognition algorithms; key skills include machine learning, deep learning, and signal processing. High industry demand.
AI Speech Scientist Conduct research and development on advanced speech recognition technologies. Requires strong analytical and problem-solving skills.
Speech Recognition Developer Implement and maintain speech recognition systems, integrating them into various applications. Strong programming skills essential.
Data Scientist (Speech Recognition) Analyze large datasets of speech data, identify patterns, and improve model accuracy. Expertise in data mining and statistical modeling needed.
Machine Learning Engineer (Speech) Design, build, and deploy machine learning models for speech recognition tasks. Requires proficiency in various machine learning frameworks.

Key facts about Certificate Programme in Speech Recognition Models

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A Certificate Programme in Speech Recognition Models provides comprehensive training in the design, development, and implementation of cutting-edge speech recognition systems. This program equips participants with the practical skills and theoretical knowledge needed to excel in this rapidly evolving field.


Learning outcomes include mastering core concepts like acoustic modeling, language modeling, and deep learning architectures for speech recognition. Students will gain hands-on experience with popular speech recognition toolkits and build their own speech recognition models, enhancing their expertise in machine learning algorithms and signal processing techniques. This includes practical application of Hidden Markov Models (HMMs) and deep neural networks (DNNs).


The programme's duration is typically tailored to the student's needs and background, ranging from several weeks to a few months of intensive study. The flexible format caters to working professionals seeking upskilling or career transition into the exciting world of speech technology.


This Certificate Programme boasts strong industry relevance, aligning perfectly with the growing demand for skilled professionals in voice technology. Graduates will be well-prepared for roles in areas like voice search optimization, virtual assistants development, speech-to-text applications, and automated transcription services, across various sectors including healthcare, finance, and customer service.


The curriculum incorporates real-world case studies and projects, providing students with valuable experience applicable to diverse applications of speech recognition, including natural language processing (NLP) and human-computer interaction (HCI). This ensures graduates are job-ready with a portfolio showcasing practical skills in speech processing and machine learning.

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Why this course?

Sector Growth (%)
Finance 15
Healthcare 20
Retail 12

Certificate Programme in Speech Recognition Models offers a crucial pathway into a rapidly expanding field. The UK's burgeoning AI sector, fuelled by government initiatives and private investment, shows significant growth in speech recognition technology. Recent reports suggest a year-on-year increase in demand for skilled professionals, with particular growth in sectors like finance and healthcare. For example, finance anticipates a 15% increase in jobs relying on speech recognition systems this year. The healthcare sector shows even more significant growth, with projected increases of 20%. This high demand underscores the value of a Certificate Programme in Speech Recognition Models, equipping learners with the practical skills and theoretical understanding to meet industry needs. This certificate is essential for professionals seeking to enhance their career prospects and contribute to the innovative advancements in speech recognition technology.

Who should enrol in Certificate Programme in Speech Recognition Models?

Ideal Audience for our Speech Recognition Models Certificate Programme Relevant Skills & Experience
Aspiring data scientists and machine learning engineers keen to master speech recognition models. Basic programming skills (Python preferred), familiarity with machine learning concepts, and a passion for natural language processing (NLP).
Software developers aiming to integrate advanced speech technology into their applications, benefiting from the UK's growing demand for AI-powered solutions (estimated at £2.7 billion in 2022). Experience with software development, understanding of APIs, and interest in voice user interface (VUI) design.
Linguists and computational linguists who want to apply their expertise to the field of acoustic modelling and language modelling. Strong linguistic background, knowledge of phonetics and phonology, and interest in statistical modelling.
Professionals in various sectors (healthcare, finance, education) seeking to leverage speech recognition for increased efficiency and automation. Domain expertise in their respective fields, willingness to learn new technologies, and understanding of data privacy regulations.