Speech recognition is usually the purview of fairly high-powered computers chugging along at hundreds of Megahertz with megabytes of RAM. Bringing speech recognition to the low-power microcontroller ...

Abstract: Current emotional text-to-speech tasks have achieved high-quality emotional speech by incorporating emotion modules into text-to-speech models. However, there has been limited in-depth ...

Alibaba researchers have unveiled Marco-Voice, a new text-to-speech (TTS) system that brings together voice cloning and emotional speech synthesis in a single framework. With Marco-Voice, Alibaba aims ...

On August 26, 2025, Microsoft released VibeVoice, an open-source text-to-speech (TTS) model built for long-form, multi-speaker audio — think scripted podcasts, training modules, and dialogue-heavy ...

Here's a closer look at the programming behind my animatronic mouth. Using Arduino, Python, and a few open-source libraries, I take a typed sentence and convert it into an animation sequence.

Telling a story requires various emotional ups and downs as well as pauses. Preparing a parallel corpus for emotional voice conversion is often costly and impractical ...

Recent advancements in LLMs, such as the GPT series and emerging “o1” models, highlight the benefits of scaling training and inference-time computing. While scaling during training—by increasing model ...

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Parler-TTS has emerged as a robust text-to-speech (TTS) library, offering two powerful models: Parler-TTS Large v1 and Parler-TTS Mini v1. Both models are trained on an impressive 45,000 hours of ...