Upload MOSS-TTSD-v0.5 model checkpoint

README.md

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+---
+license: apache-2.0
+language:
+- zh
+- en
+base_model:
+- Qwen/Qwen3-1.7B-Base
+pipeline_tag: text-to-speech
+---
+
+# MOSS-TTSD 🪐
+
+## Overview
+
+MOSS-TTSD (text to spoken dialogue) is an open-source bilingual spoken dialogue synthesis model that supports both Chinese and English.
+It can transform dialogue scripts between two speakers into natural, expressive conversational speech.
+MOSS-TTSD supports voice cloning and single-session speech generation of up to 960 seconds, making it ideal for AI podcast production.
+
+## Highlights
+
+- **Highly Expressive Dialogue Speech**: Built on unified semantic-acoustic neural audio codec, a pre-trained large language model, millions of hours of TTS data, and 400k hours synthetic and real conversational speech, MOSS-TTSD generates highly expressive, human-like dialogue speech with natural conversational prosody.
+- **Two-Speaker Voice Cloning**: MOSS-TTSD supports zero-shot two speakers voice cloning and can generate conversational speech with accurate speaker swithcing based on dialogue scripts.
+- **Chinese-English Bilingual Support**: MOSS-TTSD enables highly expressive speech generation in both Chinese and English.
+- **Long-Form Speech Generation (up to 960 seconds)**: Thanks to low-bitrate codec and training framework optimization, MOSS-TTSD has been trained for long speech generation, enabling single-session speech generation of up to 960 seconds.
+- **Fully Open Source & Commercial-Ready**: MOSS-TTSD and its future updates will be fully open-source and support free commercial use.