Speech Recognition and Transcription Using AI Training Course

The Audio Classification and Event Detection with Machine Learning is a technical course designed to build machine learning models for classifying audio and detecting sound events in real-world environments.

This instructor-led, live training (available online or on-site) is targeted at intermediate to advanced data professionals who seek to apply machine learning techniques to analyze and classify audio data. The applications of this training are particularly relevant for use in public safety, manufacturing, smart cities, and multimedia analytics.

By the end of this training, participants will be able to:

• Understand how sound events are modeled and categorized using machine learning techniques.
• Preprocess audio data using feature extraction methods such as MFCC and spectrograms.
• Build, train, and evaluate models for audio classification and event detection.
• Deploy machine learning models for real-time or batch-based audio processing in enterprise or embedded environments.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for government or other specific needs, please contact us to arrange.

AI-Powered Audio Enhancement and Noise Reduction is a practical course designed to introduce participants to modern AI tools used to clean and improve audio in real-time or post-production settings. This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to apply AI tools to remove background noise, enhance voice clarity, and improve audio quality across conferencing, broadcast, and surveillance use cases for government. By the end of this training, participants will be able to: - Understand the fundamentals of audio signal processing and common sources of noise. - Use AI-based tools like Krisp, Adobe Enhance, and RNNoise for real-world audio enhancement. - Integrate noise reduction into conferencing, recording, or live broadcast workflows. - Evaluate and choose appropriate tools and models based on quality, latency, and deployment needs. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

Audio AI refers to artificial intelligence technologies that interpret, analyze, generate, or interact with audio signals, including human speech, environmental sounds, and music.

This instructor-led, live training (online or onsite) is designed for beginner-level professionals who wish to understand how AI is applied in the audio domain for business, communication, automation, and innovation purposes, particularly for government applications.

By the end of this training, participants will be able to:

• Understand what Audio AI is and how it is used in real-world settings.
• Identify different categories of audio AI tools (e.g., transcription, classification, generation).
• Explore business cases in customer service, security, compliance, and media, with a focus on public sector workflows.
• Evaluate AI tools and services suitable for enterprise audio applications, ensuring alignment with government governance and accountability standards.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for government, please contact us to arrange.

Voice assistant platforms such as Amazon Alexa, Google Dialogflow, and Rasa provide robust frameworks for developing intelligent, voice-driven applications suitable for both public and internal use cases. This instructor-led, live training (online or onsite) is designed for intermediate-level developers and design teams who aim to build, train, and deploy conversational voice interfaces that automate workflows and support users naturally through speech. By the end of this training, participants will be able to: - Design conversational flows and interaction models for voice user interfaces. - Develop voice assistants using tools such as Dialogflow, Alexa, and open-source frameworks like Rasa. - Integrate voice assistants with back-end APIs, databases, and third-party services. - Deploy voice assistants to smart devices or web-based voice applications. **Format of the Course** - Interactive lecture and discussion. - Numerous exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options for Government** - To request a customized training for this course, please contact us to arrange.

Audio AI encompasses the technologies that enable the processing, recognition, and generation of voice and sound data.

This instructor-led, live training (online or onsite) is designed for beginner-level professionals who wish to understand the ethical, legal, and operational considerations of deploying audio AI within organizations for government and other public sector entities.

After completing this training, participants will be prepared to:

• Identify key privacy challenges associated with the capture and processing of audio data.
• Evaluate the compliance implications of speech-based AI systems in a government context.
• Assess ethical risks related to consent, surveillance, and automated decision-making.
• Support responsible procurement and implementation of audio AI tools for government operations.

Format of the Course

• Interactive lecture and discussion.
• Risk evaluation and compliance-mapping exercises tailored to public sector workflows.
• Hands-on assessment of audio AI scenarios in a guided, government-focused environment.

Course Customization Options

• To request a customized training for this course, tailored to specific needs for government agencies, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate software developers and data scientists who are interested in implementing large language models (LLMs) in speech recognition and synthesis systems for government applications. By the end of this training, participants will be able to: - Understand the role of LLMs in speech technologies. - Implement LLMs to enhance the accuracy of speech recognition and produce natural-sounding speech synthesis. - Integrate LLMs with existing speech recognition engines and speech synthesizers. - Evaluate and improve the performance of speech systems using LLMs. - Stay informed about current trends and future directions in speech technologies for government use.

Voice cloning and speech generation using artificial intelligence enable the replication of human voices or the creation of synthetic speech through deep learning models and speech synthesis techniques. This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim to develop, assess, and implement voice cloning and text-to-speech (TTS) systems in practical projects for government and other sectors. By the end of this training, participants will be able to: - Comprehend the fundamental principles of neural speech synthesis and voice cloning. - Evaluate commercial and open-source TTS platforms for government use. - Clone voices from sample recordings while adhering to ethical and legal guidelines. - Integrate synthetic voices into applications, interactive voice response (IVR) systems, or media pipelines. **Format of the Course** - Interactive lecture and discussion - Extensive exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.