In this tutorial, we explore Microsoft VibeVoice in Colab and build a complete hands-on workflow for both speech recognition and real-time speech synthesis. We set up the environment from scratch, install the required dependencies, verify support for the latest VibeVoice models, and then walk through advanced capabilities such as speaker-aware transcription, context-guided ASR, batch audio […]
The post A Hands-On Coding Tutorial for Microsoft VibeVoice Covering Speaker-Aware ASR, Real-Time TTS, and Speech-to-Speech Pipelines appeared first on MarkTechPost.
In this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point. We create a Colab-ready implementation where agents do not directly execute tools; instead, every action first passes through a governance layer that checks the agent’s identity, trust score, risk tier, requested tool, action type, sensitivity level, and […]
The post An Implementation of the Microsoft Agent Governance Toolkit for Safe AI Agent Tool Use with Policies, Approvals, Audit Logs, and Risk Controls appeared first on MarkTechPost.
The post Together AI Claims Fastest Speech-to-Text Stack with Parakeet v3 appeared on BitcoinEthereumNews.com.
Felix Pinkston
May 29, 2026 22:48
Together AI unveils its fastest ASR stack, leveraging NVIDIA Parakeet v3 and Whisper for real-time, low-latency transcription. Details on the tech and market impact.
Together AI has announced what it claims to be the fastest speech-to-text (ASR) stack in the world, capable of transcribing 20 hours of speech in under 10 seconds. The breakthrough leverages NVIDIA’s Parakeet-TDT 0.6B v3 and OpenAI’s Whisper Large v3, both optimized for low-latency and high-throughput applications. This development could significantly advance real-time voice AI systems, a key area of focus for the company as it scales its infrastructure. The heart of Together AI’s achievement lies in treating ASR as a full-path systems problem, rather than focusing solely on GPU inference. This holistic approach addresses bottlenecks across preprocessing, GPU exe
The Seoul-based speech AI company ships its third generation of its on-device TTS engine, adding expressive tags, improved reading stability, and a 6× increase in language coverage — all while keeping the inference contract unchanged for existing integrations.
The post Supertone Releases Supertonic v3: On-Device Text-to-Speech Model with 31-Language Support, Fewer Reading Failures, and Expression Tags appeared first on MarkTechPost.
In this tutorial, we explore CloakBrowser, a Python-friendly browser automation tool that uses Playwright-style APIs within a stealth Chromium environment. We begin by setting up CloakBrowser, preparing the required browser binary, and resolving the common Colab asyncio loop issue by running the sync browser workflow in a separate worker thread. We then move through practical […]
The post Build a CloakBrowser Automation Workflow with Stealth Chromium, Persistent Profiles, and Browser Signal Inspection appeared first on MarkTechPost.
In this tutorial, we build a complete, production-style LLM workflow using Promptflow within a Colab environment. We begin by setting up a reliable keyring backend to avoid OS dependency issues and securely configure our OpenAI connection. From there, we establish a clean workspace and define a structured Prompty file that acts as the core LLM […]
The post How to Build Traceable and Evaluated LLM Workflows Using Promptflow, Prompty, and OpenAI appeared first on MarkTechPost.
In this tutorial, we work with Microsoft’s OpenMementos dataset and explore how reasoning traces are structured through blocks and mementos in a practical, Colab-ready workflow. We stream the dataset efficiently, parse its special-token format, inspect how reasoning and summaries are organized, and measure the compression provided by the memento representation across different domains. As we […]
The post A Coding Implementation on Microsoft’s OpenMementos with Trace Structure Analysis, Context Compression, and Fine-Tuning Data Preparation appeared first on MarkTechPost.
Building a speech recognition system that works in the real world requires audio datasets that mirror it: diverse speakers, realistic acoustic environments, domain-specific vocabulary, and language variation at scale. That is precisely what Cogito Tech focuses on. An enterprise building a multilingual voice assistant, a healthcare AI in need of clinical transcription, or an automotive… Continue reading Finding the Right Partner for Multilingual, Domain-Specific Audio Datasets for Speech Recognition
The post Finding the Right Partner for Multilingual, Domain-Specific Audio Datasets for Speech Recognition appeared first on Cogitotech.
In this tutorial, we build a comprehensive, hands-on understanding of DuckDB-Python by working through its features directly in code on Colab. We start with the fundamentals of connection management and data generation, then move into real analytical workflows, including querying Pandas, Polars, and Arrow objects without manual loading, transforming results across multiple formats, and writing […]
The post An Implementation Guide to Building a DuckDB-Python Analytics Pipeline with SQL, DataFrames, Parquet, UDFs, and Performance Profiling appeared first on MarkTechPost.
