Audio AI is transforming the landscape of machine listening and human communication, encompassing capabilities such as voice cloning, noise suppression, emotion detection, and speech synthesis.
These instructor-led courses explore the core technologies driving intelligent sound, including audio signal processing, deep learning architectures, and real-time voice interaction systems.
Participants may opt for online live training via an interactive remote desktop or choose onsite sessions in Nepal, where each practical lab addresses real-world challenges like echo removal, voice detection, and audio synthesis.
Whether for in-house R&D labs or product innovation teams, organizations in Nepal can host onsite training at their own premises or collaborate face-to-face at a NobleProg training centre designed for sonic experimentation.
Also referred to as Voice AI, Intelligent Audio, or Speech AI, this training is particularly suited for developers, product teams, and researchers who are expanding the frontiers of machine listening.
NobleProg – Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Audio AI encompasses the technologies that facilitate the processing, recognition, and generation of voice and sound data.
This instructor-led live training, available online or onsite, is designed for beginner-level professionals seeking to grasp the ethical, legal, and operational considerations involved in deploying audio AI within their organizations.
Upon completion of this training, participants will be equipped to:
Identify primary privacy challenges associated with capturing and processing audio data.
Evaluate the compliance implications of speech-based AI systems.
Assess ethical risks concerning consent, surveillance, and automated decision-making.
Facilitate the responsible procurement and implementation of audio AI tools.
Format of the Course
Interactive lectures and discussions.
Exercises focused on risk evaluation and compliance mapping.
Hands-on assessment of audio AI scenarios in a guided environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
Machine Learning for Audio Classification and Event Detection is a specialized technical course designed to teach participants how to construct machine learning models capable of classifying audio and identifying sound events within real-world scenarios.
This instructor-led live training, available either online or onsite, is tailored for data professionals ranging from intermediate to advanced levels who aim to apply machine learning techniques to analyse and classify audio data for applications in public safety, manufacturing, smart cities, and multimedia analytics.
Upon completion of this training, participants will be able to:
Comprehend how sound events are modelled and categorised using machine learning.
Preprocess audio data by employing feature extraction techniques such as MFCC and spectrograms.
Construct, train, and evaluate models for audio classification and event detection.
Deploy machine learning models for real-time or batch-based audio processing within enterprise or embedded environments.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation in a live lab environment.
Course Customisation Options
To request customised training for this course, please get in touch to make arrangements.
AI-Driven Audio Enhancement and Noise Reduction is a hands-on course designed to introduce participants to contemporary AI tools utilised for cleaning and enhancing audio in real-time or post-production environments.
This instructor-led, live training (available online or onsite) is targeted at beginner to intermediate-level professionals who wish to leverage AI tools to eliminate background noise, improve voice clarity, and boost overall audio quality across conferencing, broadcasting, and surveillance applications.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of audio signal processing and identify common sources of noise.
Utilise AI-based tools such as Krisp, Adobe Enhance, and RNNoise for practical audio enhancement.
Integrate noise reduction techniques into conferencing, recording, or live broadcast workflows.
Assess and select suitable tools and models based on quality, latency, and deployment requirements.
Course Format
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation within a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Platforms such as Amazon Alexa, Google Dialogflow, and Rasa provide robust frameworks for creating intelligent, voice-enabled applications suitable for both public-facing and internal business needs.
This instructor-led live training, available online or on-site, is tailored for intermediate developers and design teams looking to build, train, and deploy conversational voice interfaces. These interfaces automate workflows and assist users through natural speech interactions.
Upon completion of this training, participants will be equipped to:
Design conversational flows and interaction models for voice user interfaces.
Develop voice assistants leveraging tools like Dialogflow, Alexa, and open-source frameworks such as Rasa.
Integrate these assistants with back-end APIs, databases, and third-party services.
Deploy assistants onto smart devices or web-based voice applications.
Course Format
Interactive lectures and discussions.
Numerous exercises and practical practice sessions.
Hands-on implementation within a live laboratory environment.
Customization Options
For tailored training needs, please reach out to us to arrange a customized session.
Voice cloning and speech generation powered by AI enable users to replicate human voices or produce synthetic speech by leveraging deep learning models and advanced speech synthesis techniques.
This instructor-led live training, available online or on-site, is designed for intermediate-level professionals seeking to create, evaluate, and implement voice cloning and Text-to-Speech (TTS) systems in practical projects.
Upon completion of this training, participants will be equipped to:
Grasp the fundamental concepts behind neural speech synthesis and voice cloning.
Assess both commercial and open-source TTS platforms.
Clone voices from sample recordings while adhering to ethical and legal standards.
Integrate synthetic voices into applications, IVR systems, or media pipelines.
Course Format
Interactive lectures and discussions.
Numerous exercises and practical practice sessions.
Hands-on implementation within a live-lab environment.
Customization Options
To arrange a customized training session for this course, please get in touch with us.
Speech recognition and transcription using 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.
By the end of this training, participants will be able to:
Gain insight into how modern speech recognition models are trained and deployed.
Assess both open-source and commercial APIs for speech-to-text transcription.
Address challenges related to multilingual and domain-specific transcription.
Construct basic transcription workflows tailored to various audio sources.
Format of the Course
Interactive lectures and discussions.
Numerous exercises and practical practice sessions.
Hands-on implementation within a live laboratory environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Audio AI encompasses artificial intelligence technologies designed to interpret, analyze, generate, or interact with audio signals, which include human speech, environmental sounds, and music.
This instructor-led training (available online or onsite) is tailored for beginner-level professionals seeking to comprehend the application of AI in the audio domain for business, communication, automation, and innovation.
Upon completing this training, participants will be capable of:
Grasping the concept of Audio AI and its real-world applications.
Recognizing various categories of audio AI tools, such as transcription, classification, and generation.
Examining business cases in sectors like customer service, security, compliance, and media.
Assessing AI tools and services appropriate for enterprise audio applications.
Course Format
Interactive lectures and discussions.
Numerous exercises and practice sessions.
Hands-on implementation within a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
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