Decibri
Decibri is a Rust-based audio library for developers building real-time speech, voice-agent, and audio applications. It provides microphone capture, speaker playback, PCM streaming, audio-file processing, and a command-line interface through Python, Node.js, Rust, and browser APIs. Built-in features include voice activity detection, acoustic echo cancellation, and optional audio conditioning such as denoising, filtering, automatic gain control, and limiting. Developers can stream captured audio to cloud or local speech-to-text services and play generated speech through integrated audio output. Use cases include voice assistants, conversational agents, transcription, wake-word and keyword detection, interactive robotics, full-duplex speech, audio pipelines, and edge devices. Prebuilt native packages support Windows, macOS, and Linux; Python and Node.js packages require no additional build tools. The browser implementation provides capture, energy-based speech detection, and playback.
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Kore.ai
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Kore.ai is an enterprise AI platform that enables organizations to build, deploy, manage, and optimize AI agents for customer service and employee productivity use cases. Its Agent Platform, known as Artemis, provides the foundation for creating AI-powered applications, intelligent workflows, and enterprise-grade automation solutions. The platform includes pre-built applications for industries such as banking, healthcare, retail, human resources, recruiting, and IT support. Organizations can also leverage AI agent builders, enterprise search, orchestration tools, and marketplace integrations to accelerate development and deployment. Kore.ai is designed to support large-scale enterprise environments with strong governance, administrative controls, and integration capabilities. By combining AI agents, automation, and business process intelligence, Kore.ai helps enterprises improve operational efficiency and customer experiences.
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Google Cloud Natural Language API
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Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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aiOla
aiOla is a deep tech Conversational, Voice, and Speech AI lab with an enterprise-level automatic speech recognition (ASR) foundation model, Text-to-speech (TTS) technology and Natural Language Understanding (NLU). It’s designed to help enterprises and developers adapt speech technologies to any process, whether through seamless API integration or an intuitive in-house app.
aiOla is revolutionizing enterprise operations with enterprise level Conversational AI. We specialize in speech-to-text and text-to-speech AI that deliver unmatched accuracy (95%), specialized in specific jargon, in any language, accent, vertical, or acoustic environment.
From empowering frontline workers with hands-free workflows to enabling voice AI agents with enterprise-grade ASR and TTS, aiOla seamlessly integrates into workflows, internal apps and products.
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