Add Fireredtts2 notebook

.ci/ignore_treon_docker.txt

@@ -78,4 +78,5 @@ notebooks/qwen2.5-omni-chatbot/qwen2.5-omni-chatbot.ipynb
 notebooks/intern-video2-classiciation/intern-video2-classification.ipynb
 notebooks/flex.2-image-generation/flex.2-image-generation.ipynb
 notebooks/wan2.1-text-to-video/wan2.1-text-to-video.ipynb
-notebooks/ace-step-music-generation/ace-step-music-generation.ipynb
+notebooks/ace-step-music-generation/ace-step-music-generation.ipynb
+notebooks/fireredtts2/fireredtts2.ipynb

.ci/skipped_notebooks.yml

@@ -538,6 +538,12 @@
   skips:
     - os:
         - macos-13
+- notebook: notebooks/fireredtts2/fireredtts2.ipynb
+  skips:
+    - os:
+        - macos-13
+        - ubuntu-22.04
+        - windows-2022
 - notebook: notebooks/qwen3-vl/qwen3-vl.ipynb
   skips:
     - os:

.ci/spellcheck/.pyspelling.wordlist.txt

@@ -92,6 +92,7 @@ BLACKBOX
 boolean
 CatVTON
 CausVid
+CER
 CentOS
 centric
 CFG
@@ -302,6 +303,7 @@ feedforward
 FeedForward
 FFN
 FFmpeg
+FireRedTTS
 FIL
 FEIL
 finetuned
@@ -912,6 +914,7 @@ Ruizhongtai
 Runtime
 runtime
 runtimes
+RVQ
 Safetensors
 SageMaker
 sagittal

notebooks/fireredtts2/README.md

@@ -0,0 +1,33 @@
+# Multi-speaker dialogue generation with FireRedTTS‑2 and OpenVINO
+
+FireRedTTS‑2 is a long-form streaming TTS system for multi-speaker dialogue generation, delivering stable, natural speech with reliable speaker switching and context-aware prosody. It is highlighted by following features:
+- **Long Conversational Speech Generation**: It currently supports 3 minutes dialogues with 4 speakers and can be easily scaled to longer conversations
+with more speakers by extending training corpus.
+- **Multilingual Support**: It supports multiple languages including English, Chinese, Japanese, Korean, French, German, and Russian. Support zero-shot voice cloning for cross-lingual and code-switching scenarios.
+- **Ultra-Low Latency**: Building on the new **12.5Hz streaming** speech tokenizer, we employ a dual-transformer architecture that operates on a text–speech interleaved sequence, enabling flexible sentence-by-sentence generation and reducing first-packet latency，Specifically, on an L20 GPU, our first-packet latency as low as 140ms while maintaining high-quality audio output.
+- **Strong Stability**：Our model achieves high similarity and low WER/CER in both monologue and dialogue tests.
+- **Random Timbre Generation**:Useful for creating ASR/speech interaction data.
+
+More details can be found in the [paper](https://arxiv.org/abs/2509.02020), original [repository](https://github.com/FireRedTeam/FireRedTTS2) and [model card](https://huggingface.co/FireRedTeam/FireRedTTS2)
+
+In this tutorial we consider how to run and optimize FireRedTTS‑2 using OpenVINO.
+
+## Notebook contents
+The tutorial consists from following steps:
+
+- Install requirements
+- Convert and Optimize model
+- Run OpenVINO model inference
+- Launch Interactive demo
+
+In this demonstration, you'll create interactive assistant that can answer questions about provided image's content or generate images based on text instructions.
+
+The images bellow illustrates example of voice cloning and dialogue generation.
+
+<img width="1862" height="1125" alt="image" src="https://github.com/user-attachments/assets/a7512db5-78cd-4379-956b-893c13534862" />
+
+## Installation instructions
+This is a self-contained example that relies solely on its own code.</br>
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.
+For details, please refer to [Installation Guide](../../README.md).
+<img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=5b5a4db0-7875-4bfb-bdbd-01698b5b1a77&file=notebooks/fireredtts2/README.md" />