Professional Certificate in Acoustic Feature Extraction using AI

Wednesday, 11 February 2026 03:06:40

International applicants and their qualifications are accepted

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Overview

Overview

Acoustic Feature Extraction using AI


This course is designed for audio engineers and machine learning enthusiasts who want to learn how to extract meaningful features from audio signals using AI techniques.


Acoustic Feature Extraction is a crucial step in audio processing, as it enables the creation of audio models that can be used for various applications such as speech recognition, music classification, and noise reduction.


Through this course, you will learn how to use deep learning algorithms to extract relevant features from audio data, including spectrograms, mel-frequency cepstral coefficients (MFCCs), and more.


By the end of this course, you will be able to apply your knowledge to real-world projects and develop your skills in audio feature extraction using AI.


So, if you're interested in learning more about Acoustic Feature Extraction using AI, explore this course and start extracting meaningful features from audio signals today!

Acoustic Feature Extraction using AI is a cutting-edge field that enables the development of intelligent systems capable of extracting valuable information from audio signals. This Professional Certificate course equips you with the skills to design and implement effective acoustic feature extraction techniques, leading to improved speech recognition, music information retrieval, and audio classification. By mastering acoustic feature extraction, you'll enhance your career prospects in AI, data science, and related fields. The course covers unique topics such as spectral features, time-frequency analysis, and deep learning-based methods. Upon completion, you'll gain a competitive edge in the job market and be able to apply your knowledge in various industries.

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 and Classification •
Speech Recognition and Synthesis •
Audio Source Separation and Denoising •
Music Information Retrieval (e.g. Music Genre Classification) •
Transfer Learning for Audio Applications •
Evaluation Metrics for Audio Feature Extraction

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

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+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

The Professional Certificate in Acoustic Feature Extraction using AI is a comprehensive course designed to equip learners with the skills and knowledge required to extract relevant acoustic features from audio data using artificial intelligence techniques.
Upon completion of this course, learners will be able to extract and analyze acoustic features such as spectral features, cepstral coefficients, and mel-frequency cepstral coefficients, which are essential for various applications in speech recognition, music information retrieval, and audio classification.
The course duration is approximately 12 weeks, with learners expected to dedicate around 10 hours per week to complete the coursework and assignments. This flexible duration allows learners to balance their studies with other commitments.
The Professional Certificate in Acoustic Feature Extraction using AI is highly relevant to the audio processing and machine learning industries, where the ability to extract and analyze acoustic features is crucial for developing intelligent systems that can understand and generate human-like speech, music, and other audio content.
By acquiring the skills and knowledge required for acoustic feature extraction, learners can pursue career opportunities in research and development, product design, and engineering in industries such as telecommunications, healthcare, and entertainment.
The course is designed to be self-paced, allowing learners to learn at their own speed and review material as needed. The course materials are also available in multiple formats, including video lectures, text-based notes, and practice assignments, to cater to different learning styles and preferences.
Upon completion of the course, learners will receive a certificate of completion, which can be added to their resume or LinkedIn profile to demonstrate their expertise in acoustic feature extraction using AI.

Why this course?

Acoustic Feature Extraction using AI has become a crucial aspect of various industries, including music, speech recognition, and audio processing. In the UK, the demand for professionals skilled in this area is on the rise, with a projected growth rate of 15% by 2025 (Source: Employment Projections 2020 to 2030).
Year Growth Rate
2020-2025 15%

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

Ideal Audience for Professional Certificate in Acoustic Feature Extraction using AI This course is designed for audio engineers, researchers, and professionals working in the fields of speech recognition, music information retrieval, and audio signal processing, particularly in the UK where the audio technology industry is a significant contributor to the economy, with over 5,000 businesses employing over 120,000 people and generating £5.5 billion in annual exports.
Technical Background Professionals with a strong foundation in audio signal processing, digital signal processing, and machine learning are ideal candidates. In the UK, a significant proportion of audio engineers hold a degree in audio engineering, music technology, or a related field, with many also possessing certifications in audio production and post-production.
Career Goals Those seeking to advance their careers in audio-related fields, such as speech recognition, music information retrieval, or audio post-production, will benefit from this course. In the UK, the demand for skilled audio professionals is high, with the industry expected to grow by 10% annually over the next five years, creating new job opportunities in areas like audio engineering, sound design, and audio production.
Prerequisites A basic understanding of audio signal processing, digital signal processing, and machine learning is required. In the UK, many professionals in the audio industry possess a degree in a relevant field or have completed vocational training in audio engineering or music technology.