Speech Recognition AI Training in Sydney

Speech Recognition AI Training in Sydney, Australia

Participants will explore how AI transforms spoken language into text, understand the architecture behind speech recognition systems, and build hands-on applications using popular tools like Python, OpenAI Whisper, and third-party APIs.

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Speech Recognition AI Training is a professional training program delivered by ProgNXT in Sydney, Australia. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Speech Recognition AI Training course with hands-on, instructor-led sessions. This course introduces learners to the fundamentals of speech recognition using artificial intelligence. Participants will explore...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: TON26
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course introduces learners to the fundamentals of speech recognition using artificial intelligence. Participants will explore how AI transforms spoken language into text, understand the architecture behind speech recognition systems, and build hands-on applications using popular tools like Python, OpenAI Whisper, and third-party APIs. The training focuses on real-world use cases such as voice-to-text transcription, live voice command interfaces, and multilingual speech processing.

By the end of the course, learners will have built working prototypes and gained a strong foundation in AI-based voice systems.

Welcome to the official Speech Recognition AI Training certification program in Sydney, Australia. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic knowledge of Python programming (variables, functions, basic libraries)
Familiarity with using command-line tools
Internet connection and access to a laptop with Python installed
No prior experience in AI or machine learning required

At the end of this course, learners will be able to:

Explain the core concepts of AI-driven speech recognition
Use Python to transcribe audio files into text
Process audio input from microphones and audio files
Build real-time speech interfaces
Apply speech recognition to real-world tasks like transcription, automation, and accessibility

Understanding of how speech recognition systems work
Ability to transcribe speech to text using APIs and AI models
Audio preprocessing and feature extraction
Real-time audio capture and voice command handling
Building simple speech-enabled applications using Python

Speech recognition pipeline and terminology
Using OpenAI Whisper for transcription
Using Google Speech-to-Text or similar APIs
Audio feature extraction using Python libraries
Real-time speech capture and command-based interaction

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Understanding Speech Recognition and Using APIs

Introduction to Speech Recognition

What is speech recognition?
History and evolution of voice technology
Where speech recognition is used today (virtual assistants, subtitles, automation)

How AI-Based Speech Recognition Works

The basic process: from audio input to text output
Components: acoustic model, language model, decoder
Common challenges: background noise, accents, multiple speakers

Introduction to Speech Recognition Tools and APIs

Overview of available tools and APIs
Google Speech-to-Text API
OpenAI Whisper
Other APIs (AssemblyAI, Azure Speech, AWS Transcribe)
How to choose the right tool

Advanced Techniques and Real-Time Voice Applications

Preprocessing and Audio Features

Understanding audio formats and sampling
Basic audio cleaning: noise reduction
Feature extraction: MFCCs, spectrograms, mel filters
Using libraries like librosa and scipy

Working with OpenAI Whisper

What is Whisper and how it works
Installation and setup
Using Whisper CLI and Python version
Working with multilingual audio files
Comparing small vs large Whisper models

Real-World Applications of Speech Recognition

Voice commands for automation
Caption generation for videos
Transcribing meetings or podcasts
Accessibility and assistive tech use cases

Final Exercise and Wrap-Up

Present or demo your project
Wrap-up discussion
Where to go next (resources, APIs, datasets, communities)

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Speech Recognition AI Training Events in sydney

Online Events

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More Upcoming Session Dates

November 2026

📍 Sydney, Australia

3rd Nov 2026→4th Nov 2026

🌐 Online Instructor-Led

12th Nov 2026→13th Nov 2026

🌐 Online Instructor-Led

24th Nov 2026→25th Nov 2026

📍 Sydney, Australia

26th Nov 2026→27th Nov 2026

December 2026

🌐 Online Instructor-Led

5th Dec 2026→6th Dec 2026

📍 Sydney, Australia

12th Dec 2026→13th Dec 2026

🌐 Online Instructor-Led

25th Dec 2026→26th Dec 2026

📍 Sydney, Australia

27th Dec 2026→28th Dec 2026

Events for other courses in Sydney, Australia

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Speech Recognition AI Training in Sydney