OpenMOSS-Team/MOSS-TTS-Realtime

text-to-speech model by OpenMOSS-Team

Open original source ↗

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

     MOSS‑TTS Family is an open‑source speech and sound generation model family from MOSI.AI and the OpenMOSS team. It is designed for high‑fidelity, high‑expressiveness, and complex real‑world scenarios, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS. This model is based on the research presented in the paper: MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models. 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-TTSD and MOSS-TTS-Realtime currently supports 20 languages: MOSS-TTS-Realtime is a high-performance, real-time speech synthesis model within the broader MOSS TTS Family. It…

OpenMOSS-Team/MOSS-TTS-Realtime on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T17:26:03.610Z

Inside the original model card — Document outline
  1. MOSS-TTS Family
  2. Overview
  3. Paper Information
  4. Introduction
  5. Released Models
  6. Supported Languages
  7. MOSS-TTS-Realtime
  8. 1. Overview
  9. 1.1 TTS Family Positioning
  10. 1.2 Model Architecture
  11. 2. Quick Start
  12. 2.1 Environment Setup

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Links from the model card

References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.

Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

OpenMOSS-Team/MOSS-TTS-Realtime is a text-to-speech model repository published by OpenMOSS-Team on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-speech
Library
transformers
Recent downloads (30 days)
22,049
Cumulative likes
116
Hugging Face trending score
3
Reported safetensors parameters
2,331,940,864
Architecture
MossTTSRealtime
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-02-09T02:41:24.000Z
Last modified
2026-07-27T14:32:11.000Z

Compatibility and lineage

Reported languages: zh, en, de, es, fr, ja, it, he, ko, ru, fa, ar, pl, pt, cs, da, sv, hu, el, tr

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-11-01T06:52:33.137Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models

hexgrad/Kokoro-82M

audio-cpp/audio.cpp-gguf

coqui/XTTS-v2

k2-fsa/OmniVoice

ResembleAI/chatterbox

pnnbao-ump/VieNeu-TTS-v3-Turbo