
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.

Explore the reproduction of Karpathy's GPT-2 model for audio, showcasing innovative applications of machine learning in sound processing and generation.

Develop a multimodal Q&A RAG tool using Gemini for unstructured data analysis, enhancing data science and machine learning capabilities.

Explore D-Flow framework for controlled generation in AI models, optimizing source points through flow differentiation. Learn applications in inverse problems and conditional generation.

Explore multilingual and code-switching speech recognition techniques, enhancing your understanding of advanced language processing methods.

Explore multilingual speech-to-speech translation techniques for under-resourced languages, focusing on encoding, decoding, and analysis strategies.

Explore robust speech recognition techniques, from classical approaches to modern methods addressing complex acoustic environments and non-stationary noise challenges.

Explore digital hearing aid development using Linux kernel, GNU tools, and Debian. Learn about openMHA, a toolbox for hearing aid algorithms, and Mahalia, a mobile research platform for low-latency audio processing.

Explore wireless security research techniques combining SDR and non-SDR tools. Learn efficient reverse engineering processes for analyzing and decoding radio signals in this hands-on demonstration.

Learn practical techniques for audio classification using machine learning, including spectrograms, CNNs, and transfer learning. Explore applications in speech, music, medical diagnostics, and more using Keras and TensorFlow.

Explore data quality issues in ML projects, their impact, and solutions. Learn to identify and fix bad data for improved project outcomes and performance.

Explore the web-audio-api to recreate guitar effect pedals digitally, learning about audio nodes and live sound manipulation techniques.