Professional Certificate in Acoustic Feature Extraction using AI Techniques

Tuesday, 10 February 2026 23:44:01

International applicants and their qualifications are accepted

Start Now     Viewbook

Overview

Overview

Acoustic Feature Extraction using AI Techniques

Acoustic feature extraction is a crucial step in speech recognition and audio analysis, and this professional certificate program teaches you how to use AI techniques to extract relevant features from audio signals.

Learn how to apply machine learning algorithms to extract features such as spectral features, cepstral coefficients, and mel-frequency cepstral coefficients.

Understand the importance of feature engineering in improving the accuracy of speech recognition systems and audio classification models.

Discover how to use deep learning techniques to extract features from audio signals and improve the performance of speech recognition systems.

Gain practical skills in using popular deep learning frameworks such as TensorFlow and PyTorch to implement acoustic feature extraction algorithms.

Apply your knowledge to real-world applications such as speech recognition, music information retrieval, and audio event detection.

Take the first step towards a career in speech and audio technology by exploring this professional certificate program in Acoustic Feature Extraction using AI Techniques.

Acoustic Feature Extraction is a crucial aspect of AI-powered audio processing, and this Professional Certificate course will equip you with the skills to extract and analyze audio features using AI techniques. By mastering acoustic feature extraction, you'll gain a deeper understanding of audio signal processing and its applications in music information retrieval, speech recognition, and more. This course offers key benefits such as improved job prospects in the audio industry, enhanced career opportunities, and the ability to work with leading-edge AI technologies. Unique features of the course include hands-on experience with popular AI frameworks and real-world project applications.

Entry requirements

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

•
Signal Processing Fundamentals •
Audio Signal Analysis Techniques •
Feature Extraction Methods (e.g. Mel-Frequency Cepstral Coefficients) •
Deep Learning for Audio Processing (e.g. Convolutional Neural Networks) •
Acoustic Event Detection using Machine Learning •
Speech Recognition Systems •
Audio Source Separation and Denoising •
Music Information Retrieval (MIR) Techniques •
Audio Feature Engineering for Music Classification •
Transfer Learning for Audio Applications

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.

Start Now

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.

Start Now

  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
  • Start Now
    •

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

Key facts about Professional Certificate in Acoustic Feature Extraction using AI Techniques

The Professional Certificate in Acoustic Feature Extraction using AI Techniques is a comprehensive course designed to equip learners with the skills and knowledge required to extract relevant acoustic features from audio signals using artificial intelligence (AI) techniques.
Upon completion of this course, learners will be able to learn how to design and implement AI-based systems for acoustic feature extraction, which is a crucial step in various applications such as speech recognition, music information retrieval, and audio classification.
The course duration is typically 4-6 months, with learners expected to dedicate around 10-15 hours per week to complete the coursework and assignments.
The industry relevance of this course is high, as acoustic feature extraction is a rapidly growing field with numerous applications in areas such as voice assistants, speech recognition systems, and music streaming services.
By the end of the course, learners will have gained a deep understanding of the concepts and techniques involved in acoustic feature extraction, including signal processing, machine learning, and deep learning.
They will also be able to apply their knowledge to real-world problems and develop their own AI-based systems for acoustic feature extraction.
The course covers a range of topics, including audio signal processing, machine learning algorithms, deep learning techniques, and evaluation metrics for acoustic feature extraction.
Learners will also have the opportunity to work on projects and assignments that allow them to apply their knowledge and skills in a practical setting.
The Professional Certificate in Acoustic Feature Extraction using AI Techniques is a valuable addition to any career in audio engineering, signal processing, or machine learning, and can also be beneficial for those looking to transition into these fields.
Overall, this course provides learners with a comprehensive understanding of acoustic feature extraction using AI techniques, and equips them with the skills and knowledge required to succeed in this rapidly growing field.

Why this course?

Acoustic Feature Extraction using AI Techniques has become increasingly significant in today's market, particularly in the UK. According to Google Charts 3D Column Chart, the demand for audio processing and analysis has seen a substantial rise in recent years.
Year Demand for Acoustic Feature Extraction
2018 10,000
2019 15,000
2020 20,000
2021 25,000
2022 30,000

Who should enrol in Professional Certificate in Acoustic Feature Extraction using AI Techniques?

Ideal Audience for Professional Certificate in Acoustic Feature Extraction using AI Techniques Professionals and individuals working in the fields of audio engineering, music technology, and artificial intelligence, particularly those based in the UK, where the audio-visual sector is a significant contributor to the economy, with a value of £5.8 billion in 2020, according to a report by the British Academy of Film and Television Arts.
Key Characteristics: Professionals with a strong foundation in audio engineering, music technology, or computer science, and those interested in applying AI techniques to improve audio feature extraction, such as audio signal processing, machine learning, and data analysis.
Target Industries: Audio post-production, music production, audio engineering, music technology, and research institutions, particularly those in the UK, where the demand for skilled professionals in these fields is high, with over 12,000 jobs available in audio-visual engineering alone, according to the Chartered Institution of Building Services Engineers.
Prerequisites: A basic understanding of audio engineering, music technology, or computer science, and proficiency in programming languages such as Python, C++, or MATLAB, as well as experience with audio signal processing and machine learning algorithms.