
Create a Python program to scrape, download, and transcribe podcast episodes using web scraping, NLP, and speech-to-text API, enhancing your portfolio with practical data processing skills.

Explore cloud computing with Azure for faster, reproducible data science research. Hands-on labs cover deep learning, NLP, ML deployment, and more across various scientific disciplines.

Learn to create a translation app with text-to-speech and speech-to-text functionality, using Spinners to select languages and buttons for audio playback.

Learn to deploy a speech recognition system on Amazon AWS EC2, covering Docker setup, instance creation, code transfer, and firewall configuration for cloud-based implementation.

Learn to transcribe audio files using AssemblyAI's Speech-to-Text API and C#. Covers file uploading, API requests, JSON parsing, and implementing various transcription options.

Learn to build a Python workflow that extracts knowledge from YouTube videos by downloading audio, transcribing it, and using AI to answer questions about the content.

Learn to build a real-time medical transcription analyzer using AssemblyAI's API and Claude 3.5 Sonnet, automating the categorization of key medical terms from live audio.

Create an AI-powered Google Translate clone using React Native and Expo. Learn to integrate OpenAI for translations, speech-to-text, and text-to-speech functionalities in this comprehensive tutorial.

Explore a revolutionary spoken language for efficient code editing by voice, leveraging tree-sitter parser for smart manipulations and flexible primitives to create powerful command chains.

Explore discriminative training techniques for acoustic models, focusing on MPE and fMPE approaches, with insights into feature-space transformation methods for speech recognition.

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

Explore TIS.AI's versatile communication capabilities, from infant interactions to vineyard applications, and discover its official LLM language implementation for diverse use cases.

Learn how to create accurate multilingual YouTube subtitles using Whisper AI's speech-to-text technology, with step-by-step Python implementation and optional language fine-tuning capabilities.

Explore how StarCoder orchestrates multi-modal transformer agents on HuggingFace Hub, enabling seamless connections between audio, visual, and text transformers for advanced AI applications.

Explore creating a multilingual AI assistant using Gemma. Learn to tune models for specific tasks and languages, with insights from developers and practical extension tips.

Explore AI-powered data analysis for law enforcement, connecting diverse information sources to uncover hidden links. Learn about Paliscope's innovative software and its real-world applications.

Discover how to integrate GitHub Copilot-like ML capabilities into products using the Hugging Face Inference API, demonstrated through building a VSCode extension for Python code comment generation.

Learn to generate realistic lip movements from speech using advanced AI techniques, exploring models, evaluation methods, and real-world applications in this cutting-edge field.

Explore innovative techniques for improving speech recognition using reinforcement learning-based speech enhancement, covering key concepts and potential future advancements.

Explore OpenAI's Python library for text completion, Q&A, image generation, and speech-to-text. Hands-on tutorial covering GPT-3, DALL-E 2, and Whisper functionalities.

Learn to create a multilingual video subtitle generator using OpenAI Whisper, Python, and Gradio. Build, deploy, and use this free tool for automatic captioning in various languages.