MOSS-TTSD

Introduction

When a single piece of audio needs to sound like a real person, pronounce every word accurately, switch speaking styles across content, remain stable over tens of minutes, and support dialogue, role‑play, and real‑time interaction, a single TTS model is often not enough. The MOSS‑TTS Family breaks the workflow into five production‑ready models that can be used independently or composed into a complete pipeline.

• MOSS‑TTS: MOSS-TTS is the flagship production TTS foundation model, centered on high-fidelity zero-shot voice cloning with controllable long-form synthesis, pronunciation, and multilingual/code-switched speech. It serves as the core engine for scalable narration, dubbing, and voice-driven products.
• MOSS‑TTSD: MOSS-TTSD is a production long-form dialogue model for expressive multi-speaker conversational audio at scale. It supports long-duration continuity, turn-taking control, and zero-shot voice cloning from short references for podcasts, audiobooks, commentary, dubbing, and entertainment dialogue.
• MOSS‑VoiceGenerator: MOSS-VoiceGenerator is an open-source voice design model that creates speaker timbres directly from free-form text, without reference audio. It unifies timbre design, style control, and content synthesis, and can be used standalone or as a voice-design layer for downstream TTS.
• MOSS‑SoundEffect: MOSS-SoundEffect is a high-fidelity text-to-sound model with broad category coverage and controllable duration for real content production. It generates stable audio from prompts across ambience, urban scenes, creatures, human actions, and music-like clips for film, games, interactive media, and data synthesis.
• MOSS‑TTS‑Realtime: MOSS-TTS-Realtime is a context-aware, multi-turn streaming TTS model for real-time voice agents. By conditioning on dialogue history across both text and prior user acoustics, it delivers low-latency synthesis with coherent, consistent voice responses across turns.

Released Models

Supported Languages

MOSS-TTS, MOSS-TTSD and MOSS-TTS-Realtime currently supports 20 languages:

MOSS-TTSD

MOSS-TTSD is a long-form spoken dialogue generation model that enables highly expressive multi-party conversational speech synthesis across multiple languages. It supports continuous long-duration generation, flexible multi-speaker dialogue control, and state-of-the-art zero-shot voice cloning with only short reference audio. MOSS-TTSD is designed for real-world long-form content creation, including podcasts, audiobook, sports and esports commentary, dubbing, crosstalk, and entertainment scenarios.

1. Overview

1.1 TTS Family Positioning

MOSS-TTSD is the Long-Form Dialogue Specialist in our open-source TTS Family. While our foundational models focus on high-fidelity single-speaker synthesis, MOSS-TTSD extends this capability into the realm of complex, multi-party interactions. It is designed to bridge the gap between distinct audio samples and cohesive, continuous conversation.

Design Goals

• Authentic Interaction: Capturing the natural rhythm, overlaps, and dynamics of human conversation.
• Sustained Coherence: Maintaining speaker identity and contextual consistency over extended durations (up to 1 hour).
• Production Adaptability: Serving diverse high-end scenar