MOSS-TTS Family is an open-source speech and sound generation model family designed for high-fidelity, expressive, and complex real-world scenarios. It comprises five models: MOSS-TTS for high-fidelity speech generation, MOSS-TTSD for expressive multi-speaker dialogues, MOSS-VoiceGenerator for voice design, MOSS-TTS-Realtime for real-time voice agents, and MOSS-SoundEffect for sound effect generation. The family supports 20 languages and offers various capabilities for different applications.

MOSS-TTS-v1.0 outperforms other open-source and closed-source models in Speaker Switch Accuracy, Speaker Similarity, and Word Error Rate. It achieves state-of-the-art results on the Seed-TTS-eval benchmark, surpassing all open-source models and rivalling leading closed-source systems.

MOSS-Audio-Tokenizer, based on the Cat architecture, is a unified discrete audio interface for the MOSS-TTS Family. It achieves state-of-the-art reconstruction quality among open-source audio tokenizers, with extreme compression and high fidelity.

I’m going to tell you about how I took a job building software to kill people. But don’t get distracted by that; I didn’t know at the time.

Yet another critique on PIM and the art of collecting links. I'll keep a link to it here and make an archive.

Thanya Nathan C, a blind 2024 graduate of Kannur University, ranked first in the merit list of persons with benchmark disabilities in the Civil Judges (Junior Division), Kerala Judicial Service, 2025. She credits her success to her experience as an advocate, which provided practical application of law and courtroom procedure knowledge. Thanya emphasizes the need for improved accessibility in legal education and the judiciary, including more Braille study materials and inclusive infrastructure.