
Learn to create a webapp that summarizes YouTube product reviews using AssemblyAI's LLM framework. Extract key points, generate pros and cons lists, and save time when researching purchases.

Explore multimodal machine learning for cross-modal search at scale. Learn to implement natural search interfaces using open-source models and vector databases for billion-object retrieval.

Explore GStreamer's network synchronization for distributed audio capture, enabling speaker isolation and echo-location in home automation systems.

Discover how to enhance video transcription by integrating Azure Video Indexer with Databricks, implementing machine learning models for audio recognition and spectrogram classification.

Explore the transformative impact of Generative AI and NLP, from GPT-3's capabilities to practical applications in text generation and voice cloning, while addressing ethical considerations and corporate implementation.

Explore Meta AI's ImageBind technology and its groundbreaking approach to unified AI learning across six modalities, from technical architecture to practical applications and results.

Comprehensive exploration of transformer architectures in AI, covering intuition, theory, and mathematical formalization, with focus on their application in music and audio processing.

Explore Google's Gemini AI: a multimodal model excelling in programming, scientific analysis, math reasoning, and creative tasks. Witness its capabilities in understanding diverse data types and generating innovative solutions.

Discover how Sleep Cycle uses few-shot learning to differentiate snoring sounds, enhancing sleep analysis and health insights. Learn about the importance of snoring detection for overall well-being.

Explore neural audio compression techniques achieving 10x compression rates, with in-depth analysis of paper and code implementation, including VQ-VAE, VQ-GAN, and AudioGen applications.

Build a music recommender using AudioSet dataset, embedding generation, and ANNOY for efficient similarity search. Learn to process audio data and create a recommendation engine.

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.