
Learn to build a voice assistant using OpenAI Embeddings, ChatGPT, Whisper, and Eleven Labs APIs. Combine AI technologies for realistic voice responses and create a custom Q&A system with a Gradio UI.

Build a ML drowsiness detector app with PyTorch YOLOv5 and Tkinter. Detect awake/drowsy states, play alerts for sleeping, and learn object detection implementation in a practical application.

Learn to create an AI-powered rap generator using Python, combining text generation, voice cloning, and lip-syncing technologies to produce custom rap performances.

Explore voice cloning with machine learning using CorentinJ's package. Setup, test, and develop on your PC using Python in this hands-on coding livestream.

Explore voice cloning with machine learning using CorentinJ's package. Setup, test, and develop on your PC using Python in this hands-on live stream.

Explore sound programming on the x68000 using ChibiSound Pro. Learn hardware abstraction, testing, music coding, and sound creation techniques for this classic computer system.

Explore deep neural networks for speech separation, focusing on data preparation, network architectures, and real-time implementation on embedded devices for smart audio applications.

Learn to use Facebook's Audiocraft AI model for text-to-music generation. Install, run, and experiment with this powerful tool on your computer or Google Colab to create amazing AI-generated music.

Explore the alternating least squares algorithm for multi-way analysis, focusing on PARAFAC modeling in chemometrics. Learn about notation, potential problems, and alternative approaches.

Explore fundamental audio processing concepts for deep learning, including waveforms, pitch, Fourier transform, and MFCCs, essential for AI applications in sound analysis.

Innovative deep learning approach for inverting 2D remote sensing data to 3D models, reducing computation time from months to milliseconds. Explores unique embedding strategies and model architectures for efficient volumetric space reconstruction.

Learn to process audio in Keras using Kapre, exploring its advantages, features, and implementation. Discover how to embed audio transformations within deep learning models for optimized GPU-based calculations and easier deployment.

Learn to generate audio spectrograms of sound digits using a trained Variational Autoencoder, then convert them into audio. Includes implementation, scripting, debugging, and result evaluation.

Comprehensive walkthrough of OpenAI Whisper for multilingual speech recognition, translation, and transcription using command-line interface, with practical demonstrations across various audio formats.

Explore tinyML success with Mouna Elkhatib, AONDevices CEO. Learn about voice processing innovations, entrepreneurial challenges, and future trends in edge AI and IoT technologies.

Explore noise suppression in AI/ML edge applications, focusing on energy-efficient implementation for battery-powered devices and software frameworks for optimal user experience.

Learn to train and deploy tinyML models for sensor, audio, and vision data using Edge Impulse. Explore workflows, best practices, and optimization techniques for embedded machine learning applications.

Explore ultra-low-power command recognition for ubiquitous devices, covering noise challenges, system goals, core functions, training, and implementation on tiny hardware.

Comprehensive overview of recent AI advancements, including updates from major tech companies, new AI models, and emerging technologies in voice, vision, and language processing.

Exploring a framework for host-guest communication in KVM to minimize VM latencies by dynamically boosting vCPU thread priorities based on guest scheduling needs and host insights.

Explore an innovative group conversation recording device designed to capture and analyze community discussions, featuring offline operation and advanced speech recognition capabilities.