
Explore probabilistic linear discriminant analysis for i-vector posterior distributions in speaker recognition, enhancing understanding of advanced speech processing techniques.

Discover how to create intelligent solutions without ML expertise. Learn practical approaches to leverage AI technologies for smarter applications.

Explore Azure AI's suite of tools for building intelligent applications with NLP, search, monitoring, translation, speech, vision, and decision-making capabilities.

Explore AI on edge devices using Arm's tools and resources. Learn about CMSIS-Packs, Arm Virtual Hardware, and Keil Studio Cloud for efficient ML application development and deployment.

Explore automatic speaking assessment for under-resourced languages, focusing on Finnish and Finland Swedish. Learn about system components, evaluation methods, and personalized feedback for language learners.

Build a Python AI voice assistant using LiveKit and OpenAI. Learn architecture, setup, and implementation of voice recognition, text-to-speech, and AI agent functionality in this comprehensive tutorial.

Explore interoperability between Databricks and AWS for generative AI, covering intelligent document processing, real-time and batch processing patterns, and a live demo of end-to-end offerings.

Learn to create a custom AI assistant using Python, Google Speech, OpenAI, and Arduino. Develop voice control capabilities to solve specific problems tailored to your interests.

Learn to create an AI-powered decision tree for natural language interaction with computers using Python, OpenAI API, and Google Speech. Enhance user communication flexibility and eliminate hard-coded triggers.

Learn to manually train an AI-powered voice assistant using OpenAI, Python, SQLite, and Google Voice. Covers system design, text and voice-based implementations, and code review.

Build a Python app integrating OpenAI Vision API and speech recognition for automated item identification and voice-based interaction with computer vision systems.

Explore bipartite graph factorization for efficient speech recognition search space representation, addressing challenges in large vocabulary systems with long-span acoustic context.

Explore techniques for analyzing and extracting valuable insights from large volumes of customer interactions, including speech and associated data, to enhance business operations.

Explore advanced discriminative classification techniques for structured data with missing information, focusing on maximum entropy principles and large margin methods for robust decision-making.

Explorez les méthodes d'explicabilité dans le traitement de la parole, de la théorie à la pratique, pour améliorer la compréhension et la fiabilité des systèmes vocaux.

Explore AI system trustworthiness with Olivier Galibert, examining key aspects and strategies for building reliable and ethical artificial intelligence.

Explore cutting-edge AI innovations at VinAI, led by Dr. Hung Bui. Discover advancements in probabilistic models, deep learning, and human-machine understanding across various applications.

Explore the intricate mechanisms of how the cochlea processes and enables human speech recognition, examining its fundamental role in auditory perception and language comprehension.

Explore Wolfram Language 14.1's latest AI tools, including LLM connections, prompt engineering, speech recognition, and audio/video processing advancements.

Explore Distill-Whisper: a compact, efficient speech recognition model. Learn about its robust knowledge distillation, large-scale pseudo labelling, and performance compared to the larger Whisper model.

Explore techniques to enhance speech translation by addressing accent-related confusions, named entity recognition, and semantics-based disambiguation for improved accuracy and understanding.