
HearTheWeb
HearTheWeb은 사용자가 AI 공동 진행자와 함께 매력적인 팟캐스트로 텍스트를 쉽게 변환할 수 있는 도구입니다. 텍스트로부터 팟캐스트 에피소드를 생성하는 데는 5분 이내가 소요됩니다. 사용자는 25개 이상의 공동 진행자 중에서 선택할 수 있으며, 공동 진행자 이름을 사용자 정의하고 사용자 정의 브랜딩을 추가하고 대화 스타일을 조정할 수 있습니다. HearTheWeb은 Micro Publisher(5개 에피소드), Growth(25개 에피소드) 및 Enterprise(100개 에피소드) 세 가지 패키지를 제공합니다.
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Copilot Audio Expressions is Microsoft's experimental AI-powered tool that transforms text into emotionally expressive, high-fidelity audio narration without requiring user login. The tool leverages Microsoft's MAI-Voice-1 model to generate natural-sounding speech in seconds, offering users the choice between Emotive mode (for conversational delivery with emotional nuance) and Story mode (optimized for narrative content), along with nearly a dozen distinct synthetic voices. Content creators, educators, marketers, and developers can quickly input their script, select a voice and emotional style, then preview and download the resulting MP3 file, making it ideal for enhancing videos, podcasts, presentations, prototypes, or accessibility features with AI-generated narration that goes beyond flat text-to-speech by incorporating emotional inflection and natural delivery.

KittenTTS is an ultra-lightweight open-source text-to-speech model that converts written text into natural-sounding speech with impressive quality while requiring minimal computing resources. Unlike most AI speech models that demand powerful hardware, KittenTTS runs efficiently on almost any device including older computers, Raspberry Pis, and even in browsers thanks to its tiny 25MB footprint and 15 million parameter design. The AI model delivers multiple realistic voices in real-time without requiring internet connectivity or GPUs, making it ideal for developers creating privacy-focused applications, edge computing projects, accessibility tools, or any scenario where resource efficiency matters. With its combination of high-quality output, remarkable speed on CPU-only systems, and open-source Apache 2.0 license, KittenTTS represents a breakthrough for deploying voice AI in resource-constrained environments where larger models simply cannot operate.

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