Power New Voice-Enabled Interfaces and Applications with Google Cloud's Speech Solutions
Explore Google Cloud's advanced speech recognition and synthesis solutions for creating innovative voice interfaces across industries.
10 Ways to Use Machine Learning with Google Cloud
Discover cutting-edge AI advancements in speech transcription, knowledge graphs, and large language models using Google Cloud's AI API portfolio.
Introduction to Generative AI Studio - Prototyping and Customizing Models on Vertex AI
Prototype and customize generative AI models using Vertex AI's Generative AI Studio. Learn about language, vision, speech, prompt design, and model tuning.
Perfect Voice Applications with Chirp and Speech Fine-Tuning
Leverage Vertex AI and Chirp to perfect speech recognition for your applications. Learn to fine-tune models with in-domain data for optimal voice interactions.
Introduction to Deep Learning: Deep Learning Success Stories - Lecture 3
Explore deep learning success stories and their impact across various fields, gaining insights from Prof. A.N. Rajagopalan of IIT Madras.
Building Conversational AI Agents with Voice
Discover tips for creating conversational AI agents with voice, focusing on user experience. Learn from a Deepgram product manager about building effective speech-to-text interactions.
Whisper OpenAI Speech-to-Text and Translation Model
Aprende a utilizar Whisper, el modelo de reconocimiento de voz de OpenAI, para transcribir y traducir audio con precisión.
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective - Oral Session 1
Explore MixupE, an improved data augmentation technique for deep neural networks. Gain insights into its theoretical foundations and practical applications across various domains.
What to Build with AI - Ideas from 10 Hugging Face Spaces
Explore 10 innovative AI applications on Hugging Face Spaces, from math problem-solving to virtual try-ons, music generation, and image manipulation, showcasing the diverse capabilities of modern AI technologies.
How to Code Custom ChatGPT API Interfaces - CLI and Voice
Learn to build custom ChatGPT API interfaces, including a CLI chatbot and voice transcription using Whisper, with hands-on Python coding examples.
Whisper Paper Explained - Robust Speech Recognition via Large-Scale Weak Supervision
Detailed explanation of OpenAI's Whisper model for speech recognition, covering dataset collection, model architecture, experiments, and scaling considerations.
Breaking Fake Voice Detection with Speaker-Irrelative Features
Delve into advanced techniques for bypassing fake voice detection systems through Speaker-Irrelative Features, achieving over 80% success rate by manipulating background noise and mute segments.
Revealing Microphone Nonlinear Behavior and Building an Ultrasonic Jammer
Discover how to exploit microphone nonlinearity and build ultrasonic jammers for enhanced privacy protection, exploring advanced counter-surveillance techniques and practical implementations.
Cognitive Agents for Primary School Education - A Visual Approach
Discover how interactive cognitive agents, designed by primary school students through drawings, enhance learning outcomes and introduce AI concepts while providing personalized tutoring support.
Using Vector Databases to Scale Multimodal Embeddings, Retrieval and Generation
Explore scaling multimodal embeddings, retrieval, and generation using vector databases. Learn cross-modal search techniques and guide large language models with real-time retrieval.
Zipf's Law Suggests a Three-Pronged Approach to Inclusive Speech Recognition
Explore Zipf's law in speech recognition, from frequent words to OOV challenges. Discover how power-law distributions impact language technologies and inclusive ASR development for diverse communities.
Target-Speaker Methods for Speech Recognition - Overlapping Speech Solutions
Explore advanced techniques for multi-talker ASR, including GPU-accelerated processing, wake-word leveraging, and self-supervised models to improve speech recognition in challenging environments.
OUCH: Investigating Limitations of Hidden Markov Models in Speech Recognition
Explore speech recognition challenges, focusing on Hidden Markov Model limitations. Examine frame-to-frame independence assumptions and their implications for improving recognition accuracy.
Deep Learning Interpretability and Explainability of Speech in a Clinical Context
Explore deep learning interpretability and explainability of speech in clinical settings, focusing on advanced techniques and their practical applications.
Extracting Speaker and Emotion Information from Self-Supervised Speech Models
Explore techniques for extracting speaker and emotion data from self-supervised speech models, enhancing speech recognition and analysis capabilities.
Adversarial and Poisoning Attacks Against Speech Systems - Where to Find Them
Explore vulnerabilities in machine learning systems, focusing on poisoning and adversarial attacks. Learn strategies, defense mechanisms, and implications for AI security.