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Top 7 Text-to-Speech (TTS) Projects That Surfaced This Month.

Los TTS más importantes que han aparecido este mes.

Until just a few months ago, the “sound barrier” in Artificial Intelligence wasn’t fidelity, but latency. We could generate voices indistinguishable from humans, but the waiting time (the “thinking” phase) made fluid conversation impossible. Microsoft broke the ice with its sub-100ms system, but the Open Source community has responded with staggering speed.

In less than a month, a vast number of high-quality TTS systems have popped up like mushrooms. These are oriented toward telephony, featuring extremely low latency and characteristics that would surprise anyone.

The best part? ALL of them are open source with free licenses, so it’s simply a matter of testing them one by one to discover which fits our needs best.


1. Qwen3-TTS: Multimodal Integration

Qwen3-TTS stands out as the offshoot of a powerful LLM (Large Language Model) architecture, allowing it to understand context before uttering the first syllable.

2. Pocket-TTS: Power at the Edge

From Kyutai Labs, this model—with only 100M parameters—is the king of efficiency.

3. LuxTTS: The Speed Beast

If you need to process hours of audio in seconds, LuxTTS is what you’re looking for.

4. PersonaPlex-7B: NVIDIA’s “Full-Duplex”

This isn’t just a TTS; it’s a conversational system capable of listening while it speaks (barge-in).

5. VoxCPM: The King of Zero-Shot Realism

A model that moves away from traditional “tokens” to model the voice continuously.

6. Soprano: The Acoustic Gem

Targeted at those seeking a voice that “captivates” through its clarity and rhythm.

7. VibeVoice Realtime (0.5B): The Reference Standard

Microsoft’s bet to prove that a small model (0.5B) can sound incredibly good.


A Final Reflection: The Double-Edged Sword

Regarding this flood of TTS models—most of which allow voice cloning with a sample of barely 3 seconds (seriously, with 3 seconds of audio, they can clone you)—it is perhaps time to consider the risks. While the functional advantages are massive, fraud is also set to skyrocket.

Voice identification may soon cease to be a valid authentication system. If a “known” person calls you asking for a wire transfer or a mobile verification code, there are now plenty of reasons to be suspicious.

We are heading toward a serious debate: where are we going, what do we want to achieve, and will it truly benefit society if anyone, without any training but a strong desire for profit, can exploit AI for things of “questionable legality”?

Meanwhile, at Sinologic, we continue to be amazed by the innovations appearing daily, watching where this boom of “thinking cards”—which we will eventually have to pay for—takes us.

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