AI-Powered Audio Enhancement and Noise Reduction Training Course

Audio Classification and Event Detection with Machine Learning is a technical course designed to build machine learning models that classify audio and detect sound events in real-world environments.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced data professionals who wish to apply machine learning techniques to analyze and classify audio data for use in public safety, manufacturing, smart cities, and multimedia analytics for government.

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

• Understand how sound events are modeled and categorized using machine learning.
• Preprocess audio data using feature extraction techniques 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 settings.

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 aimed at beginner-level professionals who wish to understand how AI is applied in the audio domain for business, communication, automation, and innovation purposes for government.

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 for government applications.
• Evaluate AI tools and services suitable for enterprise audio applications within the public sector.

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 Govtra to arrange.

Voice assistant platforms such as Amazon Alexa, Google Dialogflow, and Rasa provide robust frameworks for developing intelligent, voice-driven applications 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 wish 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 tailored for government.
• Extensive 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.

Speech recognition and transcription using artificial intelligence (AI) involves converting spoken language into written text through machine learning models and natural language processing systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement, evaluate, and optimize AI-powered speech-to-text solutions for real-world use cases in government operations.

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

• Understand how modern speech recognition models are trained and deployed for government applications.
• Evaluate open-source and commercial APIs for speech-to-text transcription suitable for government use.
• Handle multilingual and domain-specific transcription challenges relevant to public sector workflows.
• Build simple transcription workflows for different audio sources, aligning with government standards.

Format of the Course

• Interactive lecture and discussion focused on government needs.
• Extensive exercises and practice sessions tailored for government professionals.
• Hands-on implementation in a live-lab environment, ensuring alignment with public sector requirements.

Course Customization Options

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

Voice cloning and speech generation using artificial intelligence enable users to replicate human voices or generate synthetic speech through advanced deep learning models and speech synthesis techniques.

This instructor-led, live training (conducted online or on-site) 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 applications.

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

• Comprehend the fundamental principles underlying neural speech synthesis and voice cloning.
• Evaluate both commercial and open-source TTS platforms for government use.
• Clone voices from sample recordings in accordance with ethical and legal guidelines.
• Integrate synthetic voices into applications, interactive voice response (IVR) systems, or media pipelines for government initiatives.

Format of the Course

• Interactive lecture and discussion sessions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab environment for government.

Course Customization Options

• To request a customized training program tailored to specific needs, please contact us to arrange.