The Interspeech 2025 Speech Accessibility Project Challenge

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While the last decade has witnessed significant advancements in Automatic Speech Recognition (ASR) systems, performance of these systems for individuals with speech disabilities remains inadequate, partly due to limited public training data. To bridge this gap, the 2025 Interspeech Speech Accessibility Project (SAP) Challenge was launched, utilizing over 400 hours of SAP data collected and …

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Pioneering AI workflows at scale: A deep dive into Asana AI Studio and Amazon Q index collaboration

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Organizations today face a critical challenge: managing an ever-increasing volume of tasks and information across multiple systems. Although traditional task management tools help organize work, they often fall short in delivering the intelligence needed for truly efficient operations. Today, we’re excited to announce the integration of Asana AI Studio with Amazon Q index, bringing generative …

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Build an AI assistant using Amazon Q Business with Amazon S3 clickable URLs

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Organizations need user-friendly ways to build AI assistants that can reference enterprise documents while maintaining document security. This post shows how to use Amazon Q Business to create an AI assistant that provides clickable URLs to source documents stored in Amazon Simple Storage Service (Amazon S3), to support secure document access and verification. Amazon Q …

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Redefining enterprise data with agents and AI-native foundations

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The world is not just changing; it’s being re-engineered in real-time by data and AI. The way we interact with data is undergoing a fundamental transformation, moving beyond human-led analysis to a collaborative partnership with intelligent agents. This is the agentic shift, a new era where specialized AI agents work autonomously and cooperatively to unlock …

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Ambisonics Super-Resolution Using A Waveform-Domain Neural Network

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Ambisonics is a spatial audio format describing a sound field. First-order Ambisonics (FOA) is a popular format comprising only four channels. This limited channel count comes at the expense of spatial accuracy. Ideally one would be able to take the efficiency of a FOA format without its limitations. We have devised a data-driven spatial audio …

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Cost tracking multi-tenant model inference on Amazon Bedrock

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Organizations serving multiple tenants through AI applications face a common challenge: how to track, analyze, and optimize model usage across different customer segments. Although Amazon Bedrock provides powerful foundation models (FMs) through its Converse API, the true business value emerges when you can connect model interactions to specific tenants, users, and use cases. Using the …

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Optimize your cloud costs using Cloud Hub Optimization and Cost Explorer

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Application owners are looking for three things when they think about optimizing cloud costs: What are the most expensive resources? Which resources are costing me more this week or month? Which resources are poorly utilized? To help you answer these questions quickly and easily, we announced Cloud Hub Optimization and Cost Explorer, in private preview, …

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